Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c118' (ED25519) to the list of known hosts.

You can reproduce this build on your computer by running:

  sudo dnf install copr-rpmbuild
  /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/7357949-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64


Version: 0.72
PID: 10801
Logging PID: 10802
Task:
{'allow_user_ssh': False,
 'appstream': False,
 'background': True,
 'bootstrap': 'off',
 'build_id': 7357949,
 'buildroot_pkgs': [],
 'chroot': 'fedora-rawhide-x86_64',
 'enable_net': False,
 'fedora_review': False,
 'git_hash': 'ff97f5b774442080a3fd53ff89017d8920201124',
 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-glmnet',
 'isolation': 'default',
 'memory_reqs': 2048,
 'package_name': 'R-CRAN-glmnet',
 'package_version': '4.1.8-1.copr7357949',
 'project_dirname': 'cran',
 'project_name': 'cran',
 'project_owner': 'iucar',
 'repo_priority': None,
 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-rawhide-x86_64/',
            'id': 'copr_base',
            'name': 'Copr repository',
            'priority': None}],
 'sandbox': 'iucar/cran--iucar',
 'source_json': {},
 'source_type': None,
 'ssh_public_keys': None,
 'submitter': 'iucar',
 'tags': [],
 'task_id': '7357949-fedora-rawhide-x86_64',
 'timeout': 18000,
 'uses_devel_repo': False,
 'with_opts': [],
 'without_opts': []}

Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-glmnet /var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet --depth 500 --no-single-branch --recursive

cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-glmnet', '/var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet', '--depth', '500', '--no-single-branch', '--recursive']
cwd: .
rc: 0
stdout: 
stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet'...

Running: git checkout ff97f5b774442080a3fd53ff89017d8920201124 --

cmd: ['git', 'checkout', 'ff97f5b774442080a3fd53ff89017d8920201124', '--']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet
rc: 0
stdout: 
stderr: Note: switching to 'ff97f5b774442080a3fd53ff89017d8920201124'.

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

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

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

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

HEAD is now at ff97f5b automatic import of R-CRAN-glmnet

Running: copr-distgit-client sources
/usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated

cmd: ['copr-distgit-client', 'sources']
cwd: /var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet
rc: 0
stdout: 
stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD
INFO: Reading stdout from command: git rev-parse HEAD
INFO: Reading sources specification file: sources
INFO: Downloading glmnet_4.1-8.tar.gz
INFO: Reading stdout from command: curl --help all
INFO: Calling: curl -H Pragma: -o glmnet_4.1-8.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-glmnet/glmnet_4.1-8.tar.gz/md5/98a316b4857ea3f46b44285dc5764068/glmnet_4.1-8.tar.gz
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 2382k  100 2382k    0     0  2444k      0 --:--:-- --:--:-- --:--:-- 2443k
INFO: Reading stdout from command: md5sum glmnet_4.1-8.tar.gz

Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet/R-CRAN-glmnet.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1714164789.213900 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
INFO: mock.py version 5.5 starting (python version = 3.12.1, NVR = mock-5.5-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet/R-CRAN-glmnet.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1714164789.213900 -r /var/lib/copr-rpmbuild/results/configs/child.cfg
Start: init plugins
INFO: tmpfs initialized
INFO: selinux enabled
INFO: chroot_scan: initialized
INFO: compress_logs: initialized
Finish: init plugins
INFO: Signal handler active
Start: run
INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet/R-CRAN-glmnet.spec)  Config(fedora-rawhide-x86_64)
Start: clean chroot
Finish: clean chroot
Mock Version: 5.5
INFO: Mock Version: 5.5
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1714164789.213900/root.
INFO: calling preinit hooks
INFO: enabled root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Package manager dnf5 detected and used (fallback)
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.19.1.1-1.fc39.x86_64
  rpm-sequoia-1.6.0-1.fc39.x86_64
  python3-dnf-4.19.2-1.fc39.noarch
  python3-dnf-plugins-core-4.6.0-1.fc39.noarch
  yum-4.19.2-1.fc39.noarch
  dnf5-5.1.17-1.fc39.x86_64
  dnf5-plugins-5.1.17-1.fc39.x86_64
Start: installing minimal buildroot with dnf5
Updating and loading repositories:
 fedora                                 100% |  14.9 MiB/s |  20.9 MiB |  00m01s
 Copr repository                        100% |  32.3 MiB/s |  13.6 MiB |  00m00s
Repositories loaded.
Package                           Arch   Version                    Repository      Size
Installing group/module packages:                                                       
 bash                             x86_64 5.2.26-3.fc40              fedora       8.1 MiB
 bzip2                            x86_64 1.0.8-18.fc40              fedora      91.7 KiB
 coreutils                        x86_64 9.5-1.fc41                 fedora       5.5 MiB
 cpio                             x86_64 2.15-1.fc40                fedora       1.1 MiB
 diffutils                        x86_64 3.10-5.fc40                fedora       1.6 MiB
 fedora-release-common            noarch 41-0.9                     fedora      19.2 KiB
 findutils                        x86_64 1:4.9.0-8.fc40             fedora       1.5 MiB
 gawk                             x86_64 5.3.0-3.fc40               fedora       1.7 MiB
 glibc-minimal-langpack           x86_64 2.39.9000-16.fc41          fedora       0.0   B
 grep                             x86_64 3.11-7.fc40                fedora       1.0 MiB
 gzip                             x86_64 1.13-1.fc40                fedora     385.0 KiB
 info                             x86_64 7.1-2.fc40                 fedora     357.8 KiB
 patch                            x86_64 2.7.6-24.fc40              fedora     262.8 KiB
 redhat-rpm-config                noarch 288-1.fc41                 fedora     183.3 KiB
 rpm-build                        x86_64 4.19.1.1-1.fc40            fedora     173.7 KiB
 sed                              x86_64 4.9-1.fc40                 fedora     861.5 KiB
 shadow-utils                     x86_64 2:4.15.1-2.fc41            fedora       4.1 MiB
 tar                              x86_64 2:1.35-3.fc40              fedora       2.9 MiB
 unzip                            x86_64 6.0-63.fc40                fedora     382.8 KiB
 util-linux                       x86_64 2.40-13.fc41               fedora       3.7 MiB
 which                            x86_64 2.21-41.fc40               fedora      80.2 KiB
 xz                               x86_64 1:5.4.6-3.fc41             fedora       2.0 MiB
Installing dependencies:                                                                
 alternatives                     x86_64 1.26-3.fc40                fedora      62.3 KiB
 ansible-srpm-macros              noarch 1-15.fc41                  fedora      35.7 KiB
 audit-libs                       x86_64 4.0.1-1.fc41               fedora     327.3 KiB
 authselect                       x86_64 1.5.0-5.fc41               fedora     153.6 KiB
 authselect-libs                  x86_64 1.5.0-5.fc41               fedora     818.2 KiB
 basesystem                       noarch 11-20.fc40                 fedora       0.0   B
 binutils                         x86_64 2.42.50-6.fc41             fedora      27.2 MiB
 binutils-gold                    x86_64 2.42.50-6.fc41             fedora       2.0 MiB
 bzip2-libs                       x86_64 1.0.8-18.fc40              fedora      80.7 KiB
 ca-certificates                  noarch 2023.2.62_v7.0.401-6.fc40  fedora       2.3 MiB
 coreutils-common                 x86_64 9.5-1.fc41                 fedora      11.2 MiB
 cracklib                         x86_64 2.9.11-5.fc40              fedora     238.9 KiB
 crypto-policies                  noarch 20240320-1.git58e3d95.fc41 fedora     119.2 KiB
 curl                             x86_64 8.7.1-1.fc41               fedora     758.1 KiB
 cyrus-sasl-lib                   x86_64 2.1.28-19.fc40             fedora       2.3 MiB
 debugedit                        x86_64 5.0-14.fc40                fedora     199.0 KiB
 dwz                              x86_64 0.15-6.fc40                fedora     290.9 KiB
 ed                               x86_64 1.20.2-1.fc41              fedora     146.8 KiB
 efi-srpm-macros                  noarch 5-11.fc40                  fedora      40.1 KiB
 elfutils                         x86_64 0.191-7.fc41               fedora       2.5 MiB
 elfutils-debuginfod-client       x86_64 0.191-7.fc41               fedora      64.9 KiB
 elfutils-default-yama-scope      noarch 0.191-7.fc41               fedora       1.8 KiB
 elfutils-libelf                  x86_64 0.191-7.fc41               fedora       1.2 MiB
 elfutils-libs                    x86_64 0.191-7.fc41               fedora     646.1 KiB
 fedora-gpg-keys                  noarch 41-0.1                     fedora     125.0 KiB
 fedora-release                   noarch 41-0.9                     fedora       0.0   B
 fedora-release-identity-basic    noarch 41-0.9                     fedora     694.0   B
 fedora-repos                     noarch 41-0.1                     fedora       4.9 KiB
 fedora-repos-rawhide             noarch 41-0.1                     fedora       2.2 KiB
 file                             x86_64 5.45-5.fc41                fedora     103.5 KiB
 file-libs                        x86_64 5.45-5.fc41                fedora       9.9 MiB
 filesystem                       x86_64 3.18-9.fc41                fedora     106.0   B
 fonts-srpm-macros                noarch 1:2.0.5-14.fc40            fedora      55.3 KiB
 forge-srpm-macros                noarch 0.3.1-1.fc41               fedora      39.0 KiB
 fpc-srpm-macros                  noarch 1.3-12.fc40                fedora     144.0   B
 gdb-minimal                      x86_64 14.2-5.fc41                fedora      12.7 MiB
 gdbm                             x86_64 1:1.23-6.fc40              fedora     460.9 KiB
 gdbm-libs                        x86_64 1:1.23-6.fc40              fedora     121.9 KiB
 ghc-srpm-macros                  noarch 1.9.1-1.fc41               fedora     747.0   B
 glibc                            x86_64 2.39.9000-16.fc41          fedora       6.7 MiB
 glibc-common                     x86_64 2.39.9000-16.fc41          fedora       1.0 MiB
 glibc-gconv-extra                x86_64 2.39.9000-16.fc41          fedora       7.8 MiB
 gmp                              x86_64 1:6.3.0-1.fc41             fedora     803.4 KiB
 gnat-srpm-macros                 noarch 6-5.fc40                   fedora       1.0 KiB
 go-srpm-macros                   noarch 3.6.0-1.fc41               fedora      60.8 KiB
 jansson                          x86_64 2.13.1-9.fc40              fedora      88.3 KiB
 kernel-srpm-macros               noarch 1.0-23.fc41                fedora       1.9 KiB
 keyutils-libs                    x86_64 1.6.3-3.fc40               fedora      54.4 KiB
 krb5-libs                        x86_64 1.21.2-5.fc40              fedora       2.3 MiB
 libacl                           x86_64 2.3.2-1.fc40               fedora      40.0 KiB
 libarchive                       x86_64 3.7.2-3.fc41               fedora     914.6 KiB
 libattr                          x86_64 2.5.2-3.fc40               fedora      28.5 KiB
 libblkid                         x86_64 2.40-13.fc41               fedora     262.5 KiB
 libbrotli                        x86_64 1.1.0-3.fc40               fedora     829.5 KiB
 libcap                           x86_64 2.69-8.fc41                fedora     219.7 KiB
 libcap-ng                        x86_64 0.8.5-1.fc41               fedora      69.1 KiB
 libcom_err                       x86_64 1.47.0-5.fc40              fedora      67.2 KiB
 libcurl                          x86_64 8.7.1-1.fc41               fedora     793.5 KiB
 libeconf                         x86_64 0.6.2-1.fc41               fedora      58.0 KiB
 libevent                         x86_64 2.1.12-12.fc40             fedora     895.6 KiB
 libfdisk                         x86_64 2.40-13.fc41               fedora     362.9 KiB
 libffi                           x86_64 3.4.6-1.fc41               fedora      82.4 KiB
 libgcc                           x86_64 14.0.1-0.15.fc41           fedora     270.6 KiB
 libgomp                          x86_64 14.0.1-0.15.fc41           fedora     519.2 KiB
 libidn2                          x86_64 2.3.7-1.fc40               fedora     329.1 KiB
 libmount                         x86_64 2.40-13.fc41               fedora     351.8 KiB
 libnghttp2                       x86_64 1.61.0-1.fc41              fedora     166.1 KiB
 libnsl2                          x86_64 2.0.1-1.fc40               fedora      57.9 KiB
 libpkgconf                       x86_64 2.1.0-1.fc40               fedora      74.2 KiB
 libpsl                           x86_64 0.21.5-3.fc40              fedora      80.5 KiB
 libpwquality                     x86_64 1.4.5-9.fc40               fedora     417.8 KiB
 libselinux                       x86_64 3.6-4.fc40                 fedora     173.0 KiB
 libsemanage                      x86_64 3.6-3.fc40                 fedora     293.5 KiB
 libsepol                         x86_64 3.6-3.fc40                 fedora     802.0 KiB
 libsmartcols                     x86_64 2.40-13.fc41               fedora     180.4 KiB
 libssh                           x86_64 0.10.6-6.fc41              fedora     513.3 KiB
 libssh-config                    noarch 0.10.6-6.fc41              fedora     277.0   B
 libstdc++                        x86_64 14.0.1-0.15.fc41           fedora       2.8 MiB
 libtasn1                         x86_64 4.19.0-6.fc40              fedora     175.7 KiB
 libtirpc                         x86_64 1.3.4-1.rc3.fc41           fedora     202.8 KiB
 libtool-ltdl                     x86_64 2.4.7-10.fc40              fedora      66.2 KiB
 libunistring                     x86_64 1.1-7.fc41                 fedora       1.7 MiB
 libutempter                      x86_64 1.2.1-13.fc40              fedora      57.7 KiB
 libuuid                          x86_64 2.40-13.fc41               fedora      37.4 KiB
 libverto                         x86_64 0.3.2-8.fc40               fedora      29.5 KiB
 libxcrypt                        x86_64 4.4.36-5.fc40              fedora     262.8 KiB
 libxml2                          x86_64 2.12.6-1.fc41              fedora       1.7 MiB
 libzstd                          x86_64 1.5.6-1.fc41               fedora     787.9 KiB
 lua-libs                         x86_64 5.4.6-5.fc40               fedora     281.1 KiB
 lua-srpm-macros                  noarch 1-13.fc40                  fedora       1.3 KiB
 lz4-libs                         x86_64 1.9.4-6.fc40               fedora     129.4 KiB
 mpfr                             x86_64 4.2.1-3.fc40               fedora     832.0 KiB
 ncurses-base                     noarch 6.4-12.20240127.fc40       fedora     326.2 KiB
 ncurses-libs                     x86_64 6.4-12.20240127.fc40       fedora     963.2 KiB
 ocaml-srpm-macros                noarch 9-3.fc40                   fedora       1.9 KiB
 openblas-srpm-macros             noarch 2-17.fc41                  fedora     112.0   B
 openldap                         x86_64 2.6.7-1.fc40               fedora     635.1 KiB
 openssl-libs                     x86_64 1:3.2.1-6.fc41             fedora       7.8 MiB
 p11-kit                          x86_64 0.25.3-4.fc40              fedora       2.2 MiB
 p11-kit-trust                    x86_64 0.25.3-4.fc40              fedora     391.4 KiB
 package-notes-srpm-macros        noarch 0.5-11.fc40                fedora       1.6 KiB
 pam                              x86_64 1.6.1-1.fc41               fedora       1.8 MiB
 pam-libs                         x86_64 1.6.1-1.fc41               fedora     135.0 KiB
 pcre2                            x86_64 10.43-1.fc41               fedora     653.5 KiB
 pcre2-syntax                     noarch 10.43-1.fc41               fedora     249.0 KiB
 perl-srpm-macros                 noarch 1-53.fc40                  fedora     861.0   B
 pkgconf                          x86_64 2.1.0-1.fc40               fedora      82.4 KiB
 pkgconf-m4                       noarch 2.1.0-1.fc40               fedora      13.9 KiB
 pkgconf-pkg-config               x86_64 2.1.0-1.fc40               fedora     989.0   B
 popt                             x86_64 1.19-6.fc40                fedora     136.9 KiB
 publicsuffix-list-dafsa          noarch 20240107-3.fc40            fedora      67.5 KiB
 pyproject-srpm-macros            noarch 1.12.0-1.fc40              fedora       1.5 KiB
 python-srpm-macros               noarch 3.12-9.fc41                fedora      50.5 KiB
 qt5-srpm-macros                  noarch 5.15.13-1.fc41             fedora     492.0   B
 qt6-srpm-macros                  noarch 6.7.0-1.fc41               fedora     456.0   B
 readline                         x86_64 8.2-8.fc40                 fedora     489.2 KiB
 rpm                              x86_64 4.19.1.1-1.fc40            fedora       3.0 MiB
 rpm-build-libs                   x86_64 4.19.1.1-1.fc40            fedora     198.4 KiB
 rpm-libs                         x86_64 4.19.1.1-1.fc40            fedora     709.9 KiB
 rpm-sequoia                      x86_64 1.6.0-2.fc40               fedora       2.2 MiB
 rust-srpm-macros                 noarch 26.2-1.fc41                fedora       4.8 KiB
 setup                            noarch 2.14.5-2.fc40              fedora     720.4 KiB
 sqlite-libs                      x86_64 3.45.2-1.fc41              fedora       1.4 MiB
 systemd-libs                     x86_64 255.5-1.fc41               fedora       1.9 MiB
 util-linux-core                  x86_64 2.40-13.fc41               fedora       1.5 MiB
 xxhash-libs                      x86_64 0.8.2-2.fc40               fedora      88.5 KiB
 xz-libs                          x86_64 1:5.4.6-3.fc41             fedora     209.8 KiB
 zig-srpm-macros                  noarch 1-2.fc40                   fedora       1.1 KiB
 zip                              x86_64 3.0-40.fc40                fedora     703.2 KiB
 zlib-ng-compat                   x86_64 2.1.6-2.fc40               fedora     134.0 KiB
 zstd                             x86_64 1.5.6-1.fc41               fedora       1.7 MiB
Installing groups:                                                                      
 Buildsystem building group                                                             

Transaction Summary:
 Installing:      153 packages

Total size of inbound packages is 53 MiB. Need to download 53 MiB.
After this operation 179 MiB will be used (install 179 MiB, remove 0 B).
[  1/153] bzip2-0:1.0.8-18.fc40.x86_64  100% | 295.8 KiB/s |  52.4 KiB |  00m00s
[  2/153] cpio-0:2.15-1.fc40.x86_64     100% | 844.6 KiB/s | 292.2 KiB |  00m00s
[  3/153] coreutils-0:9.5-1.fc41.x86_64 100% |   1.9 MiB/s |   1.1 MiB |  00m01s
[  4/153] fedora-release-common-0:41-0. 100% | 352.9 KiB/s |  21.5 KiB |  00m00s
[  5/153] diffutils-0:3.10-5.fc40.x86_6 100% |   1.0 MiB/s | 405.5 KiB |  00m00s
[  6/153] glibc-minimal-langpack-0:2.39 100% | 859.8 KiB/s | 110.1 KiB |  00m00s
[  7/153] findutils-1:4.9.0-8.fc40.x86_ 100% |   1.1 MiB/s | 491.9 KiB |  00m00s
[  8/153] bash-0:5.2.26-3.fc40.x86_64   100% |   1.2 MiB/s |   1.8 MiB |  00m01s
[  9/153] gzip-0:1.13-1.fc40.x86_64     100% | 412.2 KiB/s | 170.6 KiB |  00m00s
[ 10/153] grep-0:3.11-7.fc40.x86_64     100% | 572.9 KiB/s | 300.2 KiB |  00m01s
[ 11/153] info-0:7.1-2.fc40.x86_64      100% | 720.7 KiB/s | 182.3 KiB |  00m00s
[ 12/153] patch-0:2.7.6-24.fc40.x86_64  100% | 461.9 KiB/s | 130.7 KiB |  00m00s
[ 13/153] redhat-rpm-config-0:288-1.fc4 100% | 325.1 KiB/s |  82.3 KiB |  00m00s
[ 14/153] rpm-build-0:4.19.1.1-1.fc40.x 100% | 405.3 KiB/s |  78.2 KiB |  00m00s
[ 15/153] sed-0:4.9-1.fc40.x86_64       100% |   1.0 MiB/s | 318.2 KiB |  00m00s
[ 16/153] unzip-0:6.0-63.fc40.x86_64    100% | 273.8 KiB/s | 184.5 KiB |  00m01s
[ 17/153] which-0:2.21-41.fc40.x86_64   100% | 135.4 KiB/s |  41.4 KiB |  00m00s
[ 18/153] shadow-utils-2:4.15.1-2.fc41. 100% | 991.8 KiB/s |   1.3 MiB |  00m01s
[ 19/153] tar-2:1.35-3.fc40.x86_64      100% | 554.1 KiB/s | 856.6 KiB |  00m02s
[ 20/153] xz-1:5.4.6-3.fc41.x86_64      100% | 553.6 KiB/s | 557.5 KiB |  00m01s
[ 21/153] gawk-0:5.3.0-3.fc40.x86_64    100% |   1.1 MiB/s |   1.1 MiB |  00m01s
[ 22/153] util-linux-0:2.40-13.fc41.x86 100% |   1.2 MiB/s |   1.2 MiB |  00m01s
[ 23/153] ncurses-libs-0:6.4-12.2024012 100% | 771.4 KiB/s | 332.5 KiB |  00m00s
[ 24/153] bzip2-libs-0:1.0.8-18.fc40.x8 100% | 224.5 KiB/s |  40.9 KiB |  00m00s
[ 25/153] filesystem-0:3.18-9.fc41.x86_ 100% |   1.0 MiB/s |   1.1 MiB |  00m01s
[ 26/153] gmp-1:6.3.0-1.fc41.x86_64     100% | 636.2 KiB/s | 316.8 KiB |  00m00s
[ 27/153] libacl-0:2.3.2-1.fc40.x86_64  100% | 149.0 KiB/s |  24.4 KiB |  00m00s
[ 28/153] glibc-0:2.39.9000-16.fc41.x86 100% |   1.4 MiB/s |   2.2 MiB |  00m02s
[ 29/153] libattr-0:2.5.2-3.fc40.x86_64 100% | 156.5 KiB/s |  18.0 KiB |  00m00s
[ 30/153] libcap-0:2.69-8.fc41.x86_64   100% | 162.2 KiB/s |  85.5 KiB |  00m01s
[ 31/153] libselinux-0:3.6-4.fc40.x86_6 100% |  99.0 KiB/s |  87.5 KiB |  00m01s
[ 32/153] fedora-repos-0:41-0.1.noarch  100% |  80.5 KiB/s |   9.3 KiB |  00m00s
[ 33/153] coreutils-common-0:9.5-1.fc41 100% |   1.1 MiB/s |   2.1 MiB |  00m02s
[ 34/153] pcre2-0:10.43-1.fc41.x86_64   100% | 788.1 KiB/s | 241.9 KiB |  00m00s
[ 35/153] glibc-common-0:2.39.9000-16.f 100% | 861.5 KiB/s | 398.0 KiB |  00m00s
[ 36/153] ed-0:1.20.2-1.fc41.x86_64     100% | 356.2 KiB/s |  81.9 KiB |  00m00s
[ 37/153] ansible-srpm-macros-0:1-15.fc 100% | 179.9 KiB/s |  20.9 KiB |  00m00s
[ 38/153] openssl-libs-1:3.2.1-6.fc41.x 100% |   2.0 MiB/s |   2.3 MiB |  00m01s
[ 39/153] dwz-0:0.15-6.fc40.x86_64      100% |   1.5 MiB/s | 137.8 KiB |  00m00s
[ 40/153] efi-srpm-macros-0:5-11.fc40.n 100% | 164.0 KiB/s |  22.3 KiB |  00m00s
[ 41/153] file-0:5.45-5.fc41.x86_64     100% | 265.3 KiB/s |  49.1 KiB |  00m00s
[ 42/153] fonts-srpm-macros-1:2.0.5-14. 100% | 167.9 KiB/s |  26.5 KiB |  00m00s
[ 43/153] forge-srpm-macros-0:0.3.1-1.f 100% |  95.6 KiB/s |  19.4 KiB |  00m00s
[ 44/153] fpc-srpm-macros-0:1.3-12.fc40 100% |  44.3 KiB/s |   7.8 KiB |  00m00s
[ 45/153] ghc-srpm-macros-0:1.9.1-1.fc4 100% |  60.6 KiB/s |   9.0 KiB |  00m00s
[ 46/153] gnat-srpm-macros-0:6-5.fc40.n 100% |  61.7 KiB/s |   8.8 KiB |  00m00s
[ 47/153] go-srpm-macros-0:3.6.0-1.fc41 100% | 230.2 KiB/s |  27.9 KiB |  00m00s
[ 48/153] kernel-srpm-macros-0:1.0-23.f 100% |  59.2 KiB/s |   9.8 KiB |  00m00s
[ 49/153] lua-srpm-macros-0:1-13.fc40.n 100% |  95.9 KiB/s |   8.7 KiB |  00m00s
[ 50/153] ocaml-srpm-macros-0:9-3.fc40. 100% |  78.9 KiB/s |   9.1 KiB |  00m00s
[ 51/153] openblas-srpm-macros-0:2-17.f 100% |  68.4 KiB/s |   7.7 KiB |  00m00s
[ 52/153] package-notes-srpm-macros-0:0 100% |  42.5 KiB/s |   9.9 KiB |  00m00s
[ 53/153] perl-srpm-macros-0:1-53.fc40. 100% |  34.8 KiB/s |   8.4 KiB |  00m00s
[ 54/153] pyproject-srpm-macros-0:1.12. 100% |  61.4 KiB/s |  13.6 KiB |  00m00s
[ 55/153] python-srpm-macros-0:3.12-9.f 100% | 179.0 KiB/s |  24.0 KiB |  00m00s
[ 56/153] qt5-srpm-macros-0:5.15.13-1.f 100% |  63.3 KiB/s |   8.5 KiB |  00m00s
[ 57/153] qt6-srpm-macros-0:6.7.0-1.fc4 100% |  50.1 KiB/s |   9.0 KiB |  00m00s
[ 58/153] rpm-0:4.19.1.1-1.fc40.x86_64  100% |   2.0 MiB/s | 540.1 KiB |  00m00s
[ 59/153] rust-srpm-macros-0:26.2-1.fc4 100% |  59.8 KiB/s |  12.6 KiB |  00m00s
[ 60/153] zig-srpm-macros-0:1-2.fc40.no 100% |  60.9 KiB/s |   8.0 KiB |  00m00s
[ 61/153] zip-0:3.0-40.fc40.x86_64      100% |   2.0 MiB/s | 264.8 KiB |  00m00s
[ 62/153] debugedit-0:5.0-14.fc40.x86_6 100% | 504.5 KiB/s |  78.7 KiB |  00m00s
[ 63/153] elfutils-0:0.191-7.fc41.x86_6 100% |   1.5 MiB/s | 530.0 KiB |  00m00s
[ 64/153] elfutils-libelf-0:0.191-7.fc4 100% | 792.7 KiB/s | 208.5 KiB |  00m00s
[ 65/153] popt-0:1.19-6.fc40.x86_64     100% | 258.4 KiB/s |  66.7 KiB |  00m00s
[ 66/153] readline-0:8.2-8.fc40.x86_64  100% |   1.4 MiB/s | 213.3 KiB |  00m00s
[ 67/153] rpm-build-libs-0:4.19.1.1-1.f 100% | 487.2 KiB/s |  95.0 KiB |  00m00s
[ 68/153] rpm-libs-0:4.19.1.1-1.fc40.x8 100% | 826.0 KiB/s | 308.9 KiB |  00m00s
[ 69/153] zstd-0:1.5.6-1.fc41.x86_64    100% | 258.1 KiB/s | 479.3 KiB |  00m02s
[ 70/153] audit-libs-0:4.0.1-1.fc41.x86 100% |  65.5 KiB/s | 125.6 KiB |  00m02s
[ 71/153] libeconf-0:0.6.2-1.fc41.x86_6 100% |  18.1 KiB/s |  31.9 KiB |  00m02s
[ 72/153] libsemanage-0:3.6-3.fc40.x86_ 100% | 265.2 KiB/s | 116.4 KiB |  00m00s
[ 73/153] libxcrypt-0:4.4.36-5.fc40.x86 100% | 188.9 KiB/s | 118.1 KiB |  00m01s
[ 74/153] pam-libs-0:1.6.1-1.fc41.x86_6 100% |  77.3 KiB/s |  56.9 KiB |  00m01s
[ 75/153] setup-0:2.14.5-2.fc40.noarch  100% | 175.4 KiB/s | 154.7 KiB |  00m01s
[ 76/153] xz-libs-1:5.4.6-3.fc41.x86_64 100% | 152.4 KiB/s | 110.2 KiB |  00m01s
[ 77/153] mpfr-0:4.2.1-3.fc40.x86_64    100% | 260.7 KiB/s | 349.0 KiB |  00m01s
[ 78/153] libblkid-0:2.40-13.fc41.x86_6 100% | 101.5 KiB/s | 124.3 KiB |  00m01s
[ 79/153] libcap-ng-0:0.8.5-1.fc41.x86_ 100% |  29.5 KiB/s |  32.3 KiB |  00m01s
[ 80/153] libfdisk-0:2.40-13.fc41.x86_6 100% | 164.0 KiB/s | 159.3 KiB |  00m01s
[ 81/153] libmount-0:2.40-13.fc41.x86_6 100% | 138.8 KiB/s | 154.7 KiB |  00m01s
[ 82/153] libsmartcols-0:2.40-13.fc41.x 100% |  67.8 KiB/s |  83.3 KiB |  00m01s
[ 83/153] libutempter-0:1.2.1-13.fc40.x 100% |  42.5 KiB/s |  26.4 KiB |  00m01s
[ 84/153] libuuid-0:2.40-13.fc41.x86_64 100% | 111.9 KiB/s |  28.4 KiB |  00m00s
[ 85/153] systemd-libs-0:255.5-1.fc41.x 100% | 391.9 KiB/s | 706.1 KiB |  00m02s
[ 86/153] zlib-ng-compat-0:2.1.6-2.fc40 100% |  40.6 KiB/s |  77.1 KiB |  00m02s
[ 87/153] util-linux-core-0:2.40-13.fc4 100% | 232.0 KiB/s | 536.0 KiB |  00m02s
[ 88/153] basesystem-0:11-20.fc40.noarc 100% |   8.7 KiB/s |   7.2 KiB |  00m01s
[ 89/153] libgcc-0:14.0.1-0.15.fc41.x86 100% |  54.4 KiB/s | 125.6 KiB |  00m02s
[ 90/153] ncurses-base-0:6.4-12.2024012 100% |  43.5 KiB/s |  88.9 KiB |  00m02s
[ 91/153] glibc-gconv-extra-0:2.39.9000 100% | 360.9 KiB/s |   1.7 MiB |  00m05s
[ 92/153] libsepol-0:3.6-3.fc40.x86_64  100% | 174.1 KiB/s | 340.1 KiB |  00m02s
[ 93/153] ca-certificates-0:2023.2.62_v 100% | 399.3 KiB/s | 862.1 KiB |  00m02s
[ 94/153] crypto-policies-0:20240320-1. 100% | 189.6 KiB/s |  90.8 KiB |  00m00s
[ 95/153] fedora-gpg-keys-0:41-0.1.noar 100% | 253.6 KiB/s | 131.8 KiB |  00m01s
[ 96/153] fedora-repos-rawhide-0:41-0.1 100% |  70.8 KiB/s |   8.9 KiB |  00m00s
[ 97/153] pcre2-syntax-0:10.43-1.fc41.n 100% | 791.3 KiB/s | 148.8 KiB |  00m00s
[ 98/153] file-libs-0:5.45-5.fc41.x86_6 100% | 654.9 KiB/s | 763.0 KiB |  00m01s
[ 99/153] curl-0:8.7.1-1.fc41.x86_64    100% | 221.1 KiB/s | 305.9 KiB |  00m01s
[100/153] libarchive-0:3.7.2-3.fc41.x86 100% | 249.9 KiB/s | 406.6 KiB |  00m02s
[101/153] elfutils-libs-0:0.191-7.fc41. 100% | 314.7 KiB/s | 258.1 KiB |  00m01s
[102/153] elfutils-debuginfod-client-0: 100% |  57.9 KiB/s |  38.2 KiB |  00m01s
[103/153] libstdc++-0:14.0.1-0.15.fc41. 100% | 352.7 KiB/s | 880.7 KiB |  00m02s
[104/153] libzstd-0:1.5.6-1.fc41.x86_64 100% | 137.6 KiB/s | 308.9 KiB |  00m02s
[105/153] libgomp-0:14.0.1-0.15.fc41.x8 100% | 154.1 KiB/s | 345.7 KiB |  00m02s
[106/153] lua-libs-0:5.4.6-5.fc40.x86_6 100% | 850.7 KiB/s | 131.9 KiB |  00m00s
[107/153] lz4-libs-0:1.9.4-6.fc40.x86_6 100% | 143.6 KiB/s |  67.2 KiB |  00m00s
[108/153] rpm-sequoia-0:1.6.0-2.fc40.x8 100% |   1.4 MiB/s | 847.5 KiB |  00m01s
[109/153] sqlite-libs-0:3.45.2-1.fc41.x 100% | 926.1 KiB/s | 705.7 KiB |  00m01s
[110/153] elfutils-default-yama-scope-0 100% |  36.0 KiB/s |  13.3 KiB |  00m00s
[111/153] libxml2-0:2.12.6-1.fc41.x86_6 100% |   1.6 MiB/s | 686.3 KiB |  00m00s
[112/153] authselect-libs-0:1.5.0-5.fc4 100% | 809.7 KiB/s | 218.6 KiB |  00m00s
[113/153] pam-0:1.6.1-1.fc41.x86_64     100% |   2.1 MiB/s | 553.5 KiB |  00m00s
[114/153] authselect-0:1.5.0-5.fc41.x86 100% | 632.7 KiB/s | 146.2 KiB |  00m00s
[115/153] gdbm-libs-1:1.23-6.fc40.x86_6 100% | 289.5 KiB/s |  56.2 KiB |  00m00s
[116/153] libnsl2-0:2.0.1-1.fc40.x86_64 100% | 379.1 KiB/s |  29.6 KiB |  00m00s
[117/153] libpwquality-0:1.4.5-9.fc40.x 100% |   1.1 MiB/s | 119.7 KiB |  00m00s
[118/153] libtirpc-0:1.3.4-1.rc3.fc41.x 100% | 728.3 KiB/s |  92.5 KiB |  00m00s
[119/153] cracklib-0:2.9.11-5.fc40.x86_ 100% | 629.4 KiB/s |  92.5 KiB |  00m00s
[120/153] krb5-libs-0:1.21.2-5.fc40.x86 100% |   2.3 MiB/s | 756.1 KiB |  00m00s
[121/153] libcom_err-0:1.47.0-5.fc40.x8 100% |  84.2 KiB/s |  25.4 KiB |  00m00s
[122/153] keyutils-libs-0:1.6.3-3.fc40. 100% | 122.0 KiB/s |  31.5 KiB |  00m00s
[123/153] libverto-0:0.3.2-8.fc40.x86_6 100% | 419.2 KiB/s |  20.5 KiB |  00m00s
[124/153] alternatives-0:1.26-3.fc40.x8 100% | 174.1 KiB/s |  39.9 KiB |  00m00s
[125/153] jansson-0:2.13.1-9.fc40.x86_6 100% | 212.4 KiB/s |  44.2 KiB |  00m00s
[126/153] binutils-gold-0:2.42.50-6.fc4 100% |   1.5 MiB/s | 783.2 KiB |  00m01s
[127/153] pkgconf-pkg-config-0:2.1.0-1. 100% |  71.4 KiB/s |   9.7 KiB |  00m00s
[128/153] pkgconf-0:2.1.0-1.fc40.x86_64 100% | 166.0 KiB/s |  43.5 KiB |  00m00s
[129/153] pkgconf-m4-0:2.1.0-1.fc40.noa 100% |  57.3 KiB/s |  13.9 KiB |  00m00s
[130/153] libpkgconf-0:2.1.0-1.fc40.x86 100% | 129.1 KiB/s |  37.8 KiB |  00m00s
[131/153] gdbm-1:1.23-6.fc40.x86_64     100% | 136.8 KiB/s | 152.5 KiB |  00m01s
[132/153] libffi-0:3.4.6-1.fc41.x86_64  100% | 134.4 KiB/s |  40.0 KiB |  00m00s
[133/153] libtasn1-0:4.19.0-6.fc40.x86_ 100% | 211.1 KiB/s |  73.7 KiB |  00m00s
[134/153] p11-kit-0:0.25.3-4.fc40.x86_6 100% | 332.9 KiB/s | 489.8 KiB |  00m01s
[135/153] fedora-release-0:41-0.9.noarc 100% |  64.0 KiB/s |  11.0 KiB |  00m00s
[136/153] p11-kit-trust-0:0.25.3-4.fc40 100% | 399.8 KiB/s | 131.5 KiB |  00m00s
[137/153] xxhash-libs-0:0.8.2-2.fc40.x8 100% | 235.3 KiB/s |  36.9 KiB |  00m00s
[138/153] fedora-release-identity-basic 100% |  65.9 KiB/s |  11.8 KiB |  00m00s
[139/153] binutils-0:2.42.50-6.fc41.x86 100% |   1.8 MiB/s |   6.3 MiB |  00m03s
[140/153] libcurl-0:8.7.1-1.fc41.x86_64 100% |   1.0 MiB/s | 352.2 KiB |  00m00s
[141/153] libidn2-0:2.3.7-1.fc40.x86_64 100% | 467.5 KiB/s | 118.7 KiB |  00m00s
[142/153] libnghttp2-0:1.61.0-1.fc41.x8 100% | 166.6 KiB/s |  76.3 KiB |  00m00s
[143/153] libbrotli-0:1.1.0-3.fc40.x86_ 100% | 413.7 KiB/s | 338.4 KiB |  00m01s
[144/153] libpsl-0:0.21.5-3.fc40.x86_64 100% | 131.5 KiB/s |  63.9 KiB |  00m00s
[145/153] libssh-0:0.10.6-6.fc41.x86_64 100% | 227.4 KiB/s | 211.5 KiB |  00m01s
[146/153] openldap-0:2.6.7-1.fc40.x86_6 100% | 283.6 KiB/s | 254.3 KiB |  00m01s
[147/153] publicsuffix-list-dafsa-0:202 100% | 113.0 KiB/s |  58.1 KiB |  00m01s
[148/153] gdb-minimal-0:14.2-5.fc41.x86 100% |   1.2 MiB/s |   4.3 MiB |  00m03s
[149/153] libunistring-0:1.1-7.fc41.x86 100% | 387.4 KiB/s | 545.4 KiB |  00m01s
[150/153] libssh-config-0:0.10.6-6.fc41 100% |  20.5 KiB/s |   9.1 KiB |  00m00s
[151/153] libtool-ltdl-0:2.4.7-10.fc40. 100% |  73.0 KiB/s |  36.2 KiB |  00m00s
[152/153] cyrus-sasl-lib-0:2.1.28-19.fc 100% | 745.3 KiB/s | 789.3 KiB |  00m01s
[153/153] libevent-0:2.1.12-12.fc40.x86 100% | 354.2 KiB/s | 257.2 KiB |  00m01s
--------------------------------------------------------------------------------
[153/153] Total                         100% |   1.5 MiB/s |  52.8 MiB |  00m36s
Running transaction
Importing PGP key 0xE99D6AD1:
 Userid     : "Fedora (41) <fedora-41-primary@fedoraproject.org>"
 Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary
The key was successfully imported.
Importing PGP key 0xE99D6AD1:
 Userid     : "Fedora (41) <fedora-41-primary@fedoraproject.org>"
 Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary
The key was successfully imported.
Importing PGP key 0xA15B79CC:
 Userid     : "Fedora (40) <fedora-40-primary@fedoraproject.org>"
 Fingerprint: 115DF9AEF857853EE8445D0A0727707EA15B79CC
 From       : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-40-primary
The key was successfully imported.
[  1/155] Verify package files          100% | 566.0   B/s | 153.0   B |  00m00s
>>> Running pre-transaction scriptlet: filesystem-0:3.18-9.fc41.x86_64
>>> Stop pre-transaction scriptlet: filesystem-0:3.18-9.fc41.x86_64
[  2/155] Prepare transaction           100% |   1.9 KiB/s | 153.0   B |  00m00s
[  3/155] Installing libgcc-0:14.0.1-0. 100% | 132.9 MiB/s | 272.2 KiB |  00m00s
>>> Running post-install scriptlet: libgcc-0:14.0.1-0.15.fc41.x86_64
>>> Stop post-install scriptlet: libgcc-0:14.0.1-0.15.fc41.x86_64
[  4/155] Installing crypto-policies-0: 100% |  14.3 MiB/s | 146.2 KiB |  00m00s
>>> Running post-install scriptlet: crypto-policies-0:20240320-1.git58e3d95.fc41
>>> Stop post-install scriptlet: crypto-policies-0:20240320-1.git58e3d95.fc41.no
[  5/155] Installing fedora-release-ide 100% |   0.0   B/s | 952.0   B |  00m00s
[  6/155] Installing fedora-repos-rawhi 100% |   2.4 MiB/s |   2.4 KiB |  00m00s
[  7/155] Installing fedora-gpg-keys-0: 100% |  20.8 MiB/s | 170.1 KiB |  00m00s
[  8/155] Installing fedora-repos-0:41- 100% |   5.6 MiB/s |   5.7 KiB |  00m00s
[  9/155] Installing fedora-release-com 100% |  11.4 MiB/s |  23.3 KiB |  00m00s
[ 10/155] Installing fedora-release-0:4 100% |   0.0   B/s | 124.0   B |  00m00s
[ 11/155] Installing setup-0:2.14.5-2.f 100% |  47.3 MiB/s | 725.8 KiB |  00m00s
>>> Running post-install scriptlet: setup-0:2.14.5-2.fc40.noarch
>>> Stop post-install scriptlet: setup-0:2.14.5-2.fc40.noarch
[ 12/155] Installing filesystem-0:3.18- 100% |   1.6 MiB/s | 212.5 KiB |  00m00s
[ 13/155] Installing basesystem-0:11-20 100% |   0.0   B/s | 124.0   B |  00m00s
[ 14/155] Installing libssh-config-0:0. 100% |   0.0   B/s | 816.0   B |  00m00s
[ 15/155] Installing publicsuffix-list- 100% |  66.7 MiB/s |  68.3 KiB |  00m00s
[ 16/155] Installing pkgconf-m4-0:2.1.0 100% |   0.0   B/s |  14.3 KiB |  00m00s
[ 17/155] Installing pcre2-syntax-0:10. 100% | 122.8 MiB/s | 251.5 KiB |  00m00s
[ 18/155] Installing ncurses-base-0:6.4 100% |  38.2 MiB/s | 351.6 KiB |  00m00s
[ 19/155] Installing glibc-minimal-lang 100% |   0.0   B/s | 124.0   B |  00m00s
[ 20/155] Installing ncurses-libs-0:6.4 100% | 135.3 MiB/s | 969.7 KiB |  00m00s
>>> Running pre-install scriptlet: glibc-0:2.39.9000-16.fc41.x86_64
>>> Stop pre-install scriptlet: glibc-0:2.39.9000-16.fc41.x86_64
[ 21/155] Installing glibc-0:2.39.9000- 100% | 106.7 MiB/s |   6.7 MiB |  00m00s
>>> Running post-install scriptlet: glibc-0:2.39.9000-16.fc41.x86_64
>>> Stop post-install scriptlet: glibc-0:2.39.9000-16.fc41.x86_64
[ 22/155] Installing bash-0:5.2.26-3.fc 100% | 255.0 MiB/s |   8.2 MiB |  00m00s
>>> Running post-install scriptlet: bash-0:5.2.26-3.fc40.x86_64
>>> Stop post-install scriptlet: bash-0:5.2.26-3.fc40.x86_64
[ 23/155] Installing glibc-common-0:2.3 100% | 114.2 MiB/s |   1.0 MiB |  00m00s
[ 24/155] Installing glibc-gconv-extra- 100% | 121.0 MiB/s |   7.9 MiB |  00m00s
>>> Running post-install scriptlet: glibc-gconv-extra-0:2.39.9000-16.fc41.x86_64
>>> Stop post-install scriptlet: glibc-gconv-extra-0:2.39.9000-16.fc41.x86_64
[ 25/155] Installing zlib-ng-compat-0:2 100% | 131.7 MiB/s | 134.8 KiB |  00m00s
[ 26/155] Installing xz-libs-1:5.4.6-3. 100% | 206.0 MiB/s | 210.9 KiB |  00m00s
[ 27/155] Installing bzip2-libs-0:1.0.8 100% |  79.9 MiB/s |  81.8 KiB |  00m00s
[ 28/155] Installing popt-0:1.19-6.fc40 100% |  35.0 MiB/s | 143.5 KiB |  00m00s
[ 29/155] Installing readline-0:8.2-8.f 100% | 160.0 MiB/s | 491.4 KiB |  00m00s
[ 30/155] Installing libuuid-0:2.40-13. 100% |  37.6 MiB/s |  38.5 KiB |  00m00s
[ 31/155] Installing libstdc++-0:14.0.1 100% | 251.1 MiB/s |   2.8 MiB |  00m00s
[ 32/155] Installing libzstd-0:1.5.6-1. 100% | 256.9 MiB/s | 789.2 KiB |  00m00s
[ 33/155] Installing elfutils-libelf-0: 100% | 292.3 MiB/s |   1.2 MiB |  00m00s
[ 34/155] Installing libblkid-0:2.40-13 100% | 128.7 MiB/s | 263.7 KiB |  00m00s
[ 35/155] Installing gmp-1:6.3.0-1.fc41 100% | 262.2 MiB/s | 805.6 KiB |  00m00s
[ 36/155] Installing libattr-0:2.5.2-3. 100% |  28.8 MiB/s |  29.5 KiB |  00m00s
[ 37/155] Installing libacl-0:2.3.2-1.f 100% |  39.9 MiB/s |  40.8 KiB |  00m00s
[ 38/155] Installing libxcrypt-0:4.4.36 100% | 129.7 MiB/s | 265.5 KiB |  00m00s
[ 39/155] Installing libeconf-0:0.6.2-1 100% |  58.3 MiB/s |  59.6 KiB |  00m00s
[ 40/155] Installing lz4-libs-0:1.9.4-6 100% | 127.4 MiB/s | 130.5 KiB |  00m00s
[ 41/155] Installing gdbm-libs-1:1.23-6 100% | 120.7 MiB/s | 123.6 KiB |  00m00s
[ 42/155] Installing mpfr-0:4.2.1-3.fc4 100% | 203.5 MiB/s | 833.5 KiB |  00m00s
[ 43/155] Installing gawk-0:5.3.0-3.fc4 100% | 172.8 MiB/s |   1.7 MiB |  00m00s
[ 44/155] Installing dwz-0:0.15-6.fc40. 100% | 142.7 MiB/s | 292.3 KiB |  00m00s
[ 45/155] Installing unzip-0:6.0-63.fc4 100% | 125.8 MiB/s | 386.3 KiB |  00m00s
[ 46/155] Installing file-libs-0:5.45-5 100% | 472.9 MiB/s |   9.9 MiB |  00m00s
[ 47/155] Installing file-0:5.45-5.fc41 100% | 102.6 MiB/s | 105.0 KiB |  00m00s
[ 48/155] Installing pcre2-0:10.43-1.fc 100% | 213.2 MiB/s | 654.9 KiB |  00m00s
[ 49/155] Installing grep-0:3.11-7.fc40 100% | 125.4 MiB/s |   1.0 MiB |  00m00s
[ 50/155] Installing xz-1:5.4.6-3.fc41. 100% | 143.0 MiB/s |   2.0 MiB |  00m00s
[ 51/155] Installing libcap-ng-0:0.8.5- 100% |  69.3 MiB/s |  71.0 KiB |  00m00s
[ 52/155] Installing audit-libs-0:4.0.1 100% | 160.9 MiB/s | 329.5 KiB |  00m00s
[ 53/155] Installing pam-libs-0:1.6.1-1 100% |  67.1 MiB/s | 137.4 KiB |  00m00s
[ 54/155] Installing libcap-0:2.69-8.fc 100% |  73.1 MiB/s | 224.7 KiB |  00m00s
[ 55/155] Installing systemd-libs-0:255 100% | 275.2 MiB/s |   1.9 MiB |  00m00s
[ 56/155] Installing libsmartcols-0:2.4 100% | 177.3 MiB/s | 181.5 KiB |  00m00s
[ 57/155] Installing libsepol-0:3.6-3.f 100% | 261.4 MiB/s | 803.0 KiB |  00m00s
[ 58/155] Installing libselinux-0:3.6-4 100% |  85.1 MiB/s | 174.3 KiB |  00m00s
[ 59/155] Installing sed-0:4.9-1.fc40.x 100% | 121.3 MiB/s | 869.7 KiB |  00m00s
[ 60/155] Installing findutils-1:4.9.0- 100% | 183.2 MiB/s |   1.5 MiB |  00m00s
[ 61/155] Installing libmount-0:2.40-13 100% | 172.3 MiB/s | 352.9 KiB |  00m00s
[ 62/155] Installing lua-libs-0:5.4.6-5 100% | 137.8 MiB/s | 282.3 KiB |  00m00s
[ 63/155] Installing libcom_err-0:1.47. 100% |  66.7 MiB/s |  68.3 KiB |  00m00s
[ 64/155] Installing alternatives-0:1.2 100% |  62.5 MiB/s |  64.0 KiB |  00m00s
[ 65/155] Installing jansson-0:2.13.1-9 100% |  87.6 MiB/s |  89.7 KiB |  00m00s
[ 66/155] Installing libtasn1-0:4.19.0- 100% |  86.7 MiB/s | 177.5 KiB |  00m00s
[ 67/155] Installing libunistring-0:1.1 100% | 288.5 MiB/s |   1.7 MiB |  00m00s
[ 68/155] Installing libidn2-0:2.3.7-1. 100% |  81.8 MiB/s | 335.0 KiB |  00m00s
[ 69/155] Installing libpsl-0:0.21.5-3. 100% |  79.7 MiB/s |  81.6 KiB |  00m00s
[ 70/155] Installing util-linux-core-0: 100% | 134.9 MiB/s |   1.5 MiB |  00m00s
[ 71/155] Installing tar-2:1.35-3.fc40. 100% | 227.0 MiB/s |   3.0 MiB |  00m00s
[ 72/155] Installing libsemanage-0:3.6- 100% |  96.1 MiB/s | 295.3 KiB |  00m00s
[ 73/155] Installing shadow-utils-2:4.1 100% |  74.5 MiB/s |   4.2 MiB |  00m00s
>>> Running pre-install scriptlet: libutempter-0:1.2.1-13.fc40.x86_64
>>> Stop pre-install scriptlet: libutempter-0:1.2.1-13.fc40.x86_64
[ 74/155] Installing libutempter-0:1.2. 100% |  29.2 MiB/s |  59.7 KiB |  00m00s
[ 75/155] Installing zip-0:3.0-40.fc40. 100% | 172.6 MiB/s | 707.1 KiB |  00m00s
[ 76/155] Installing gdbm-1:1.23-6.fc40 100% |  91.0 MiB/s | 465.8 KiB |  00m00s
[ 77/155] Installing cyrus-sasl-lib-0:2 100% | 228.3 MiB/s |   2.3 MiB |  00m00s
[ 78/155] Installing zstd-0:1.5.6-1.fc4 100% | 279.3 MiB/s |   1.7 MiB |  00m00s
[ 79/155] Installing libfdisk-0:2.40-13 100% | 177.7 MiB/s | 363.9 KiB |  00m00s
[ 80/155] Installing bzip2-0:1.0.8-18.f 100% |  47.0 MiB/s |  96.2 KiB |  00m00s
[ 81/155] Installing libxml2-0:2.12.6-1 100% | 242.9 MiB/s |   1.7 MiB |  00m00s
[ 82/155] Installing sqlite-libs-0:3.45 100% | 281.1 MiB/s |   1.4 MiB |  00m00s
[ 83/155] Installing ed-0:1.20.2-1.fc41 100% |  72.8 MiB/s | 149.2 KiB |  00m00s
[ 84/155] Installing patch-0:2.7.6-24.f 100% | 129.0 MiB/s | 264.3 KiB |  00m00s
[ 85/155] Installing elfutils-default-y 100% | 127.7 KiB/s |   2.0 KiB |  00m00s
>>> Running post-install scriptlet: elfutils-default-yama-scope-0:0.191-7.fc41.n
>>> Stop post-install scriptlet: elfutils-default-yama-scope-0:0.191-7.fc41.noar
[ 86/155] Installing cpio-0:2.15-1.fc40 100% | 137.5 MiB/s |   1.1 MiB |  00m00s
[ 87/155] Installing diffutils-0:3.10-5 100% | 176.2 MiB/s |   1.6 MiB |  00m00s
[ 88/155] Installing libgomp-0:14.0.1-0 100% | 169.5 MiB/s | 520.6 KiB |  00m00s
[ 89/155] Installing keyutils-libs-0:1. 100% |  54.5 MiB/s |  55.8 KiB |  00m00s
[ 90/155] Installing libverto-0:0.3.2-8 100% |  15.3 MiB/s |  31.3 KiB |  00m00s
[ 91/155] Installing libpkgconf-0:2.1.0 100% |  73.6 MiB/s |  75.3 KiB |  00m00s
[ 92/155] Installing pkgconf-0:2.1.0-1. 100% |  41.5 MiB/s |  84.9 KiB |  00m00s
[ 93/155] Installing pkgconf-pkg-config 100% |   1.7 MiB/s |   1.8 KiB |  00m00s
[ 94/155] Installing libffi-0:3.4.6-1.f 100% |  40.9 MiB/s |  83.8 KiB |  00m00s
[ 95/155] Installing p11-kit-0:0.25.3-4 100% | 146.3 MiB/s |   2.2 MiB |  00m00s
[ 96/155] Installing p11-kit-trust-0:0. 100% |  18.3 MiB/s | 393.1 KiB |  00m00s
>>> Running post-install scriptlet: p11-kit-trust-0:0.25.3-4.fc40.x86_64
>>> Stop post-install scriptlet: p11-kit-trust-0:0.25.3-4.fc40.x86_64
[ 97/155] Installing xxhash-libs-0:0.8. 100% |  87.8 MiB/s |  89.9 KiB |  00m00s
[ 98/155] Installing libbrotli-0:1.1.0- 100% | 203.1 MiB/s | 831.8 KiB |  00m00s
[ 99/155] Installing libnghttp2-0:1.61. 100% | 163.3 MiB/s | 167.2 KiB |  00m00s
[100/155] Installing libtool-ltdl-0:2.4 100% |  65.7 MiB/s |  67.3 KiB |  00m00s
[101/155] Installing rust-srpm-macros-0 100% |   5.4 MiB/s |   5.6 KiB |  00m00s
[102/155] Installing qt6-srpm-macros-0: 100% |   0.0   B/s | 732.0   B |  00m00s
[103/155] Installing qt5-srpm-macros-0: 100% |   0.0   B/s | 768.0   B |  00m00s
[104/155] Installing perl-srpm-macros-0 100% |   0.0   B/s |   1.1 KiB |  00m00s
[105/155] Installing package-notes-srpm 100% |   0.0   B/s |   2.0 KiB |  00m00s
[106/155] Installing openblas-srpm-macr 100% |   0.0   B/s | 392.0   B |  00m00s
[107/155] Installing ocaml-srpm-macros- 100% |   0.0   B/s |   2.2 KiB |  00m00s
[108/155] Installing kernel-srpm-macros 100% |   0.0   B/s |   2.3 KiB |  00m00s
[109/155] Installing gnat-srpm-macros-0 100% |   0.0   B/s |   1.3 KiB |  00m00s
[110/155] Installing ghc-srpm-macros-0: 100% |   0.0   B/s |   1.0 KiB |  00m00s
[111/155] Installing fpc-srpm-macros-0: 100% |   0.0   B/s | 420.0   B |  00m00s
[112/155] Installing ansible-srpm-macro 100% |  35.4 MiB/s |  36.2 KiB |  00m00s
[113/155] Installing coreutils-common-0 100% | 254.3 MiB/s |  11.2 MiB |  00m00s
[114/155] Installing openssl-libs-1:3.2 100% | 311.8 MiB/s |   7.8 MiB |  00m00s
[115/155] Installing coreutils-0:9.5-1. 100% | 127.0 MiB/s |   5.6 MiB |  00m00s
>>> Running pre-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40.n
>>> Stop pre-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40.noar
[116/155] Installing ca-certificates-0: 100% |   1.9 MiB/s |   2.3 MiB |  00m01s
>>> Running post-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40.
>>> Stop post-install scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40.noa
[117/155] Installing krb5-libs-0:1.21.2 100% | 176.5 MiB/s |   2.3 MiB |  00m00s
[118/155] Installing libtirpc-0:1.3.4-1 100% |  99.9 MiB/s | 204.6 KiB |  00m00s
[119/155] Installing gzip-0:1.13-1.fc40 100% |  76.3 MiB/s | 390.6 KiB |  00m00s
[120/155] Installing authselect-libs-0: 100% |  81.4 MiB/s | 833.2 KiB |  00m00s
[121/155] Installing libarchive-0:3.7.2 100% | 223.8 MiB/s | 916.6 KiB |  00m00s
[122/155] Installing authselect-0:1.5.0 100% |  51.4 MiB/s | 157.9 KiB |  00m00s
[123/155] Installing cracklib-0:2.9.11- 100% |  30.6 MiB/s | 250.3 KiB |  00m00s
[124/155] Installing libpwquality-0:1.4 100% |  52.5 MiB/s | 430.1 KiB |  00m00s
[125/155] Installing libnsl2-0:2.0.1-1. 100% |  28.8 MiB/s |  59.0 KiB |  00m00s
[126/155] Installing pam-0:1.6.1-1.fc41 100% |  75.6 MiB/s |   1.8 MiB |  00m00s
[127/155] Installing libssh-0:0.10.6-6. 100% | 167.8 MiB/s | 515.4 KiB |  00m00s
[128/155] Installing rpm-sequoia-0:1.6. 100% | 278.7 MiB/s |   2.2 MiB |  00m00s
[129/155] Installing rpm-libs-0:4.19.1. 100% | 173.7 MiB/s | 711.4 KiB |  00m00s
[130/155] Installing libevent-0:2.1.12- 100% | 175.7 MiB/s | 899.4 KiB |  00m00s
[131/155] Installing openldap-0:2.6.7-1 100% | 124.8 MiB/s | 638.9 KiB |  00m00s
[132/155] Installing libcurl-0:8.7.1-1. 100% | 194.0 MiB/s | 794.6 KiB |  00m00s
[133/155] Installing elfutils-libs-0:0. 100% | 158.2 MiB/s | 648.0 KiB |  00m00s
[134/155] Installing elfutils-debuginfo 100% |  32.7 MiB/s |  66.9 KiB |  00m00s
[135/155] Installing binutils-gold-0:2. 100% |  92.3 MiB/s |   2.0 MiB |  00m00s
>>> Running post-install scriptlet: binutils-gold-0:2.42.50-6.fc41.x86_64
>>> Stop post-install scriptlet: binutils-gold-0:2.42.50-6.fc41.x86_64
[136/155] Installing binutils-0:2.42.50 100% | 262.0 MiB/s |  27.2 MiB |  00m00s
>>> Running post-install scriptlet: binutils-0:2.42.50-6.fc41.x86_64
>>> Stop post-install scriptlet: binutils-0:2.42.50-6.fc41.x86_64
[137/155] Installing elfutils-0:0.191-7 100% | 212.7 MiB/s |   2.6 MiB |  00m00s
[138/155] Installing gdb-minimal-0:14.2 100% | 316.4 MiB/s |  12.7 MiB |  00m00s
[139/155] Installing debugedit-0:5.0-14 100% |  65.7 MiB/s | 201.7 KiB |  00m00s
[140/155] Installing rpm-build-libs-0:4 100% |  97.3 MiB/s | 199.2 KiB |  00m00s
[141/155] Installing curl-0:8.7.1-1.fc4 100% |  32.3 MiB/s | 760.6 KiB |  00m00s
>>> Running pre-install scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64
>>> Stop pre-install scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64
[142/155] Installing rpm-0:4.19.1.1-1.f 100% |  85.6 MiB/s |   2.4 MiB |  00m00s
[143/155] Installing efi-srpm-macros-0: 100% |  40.2 MiB/s |  41.2 KiB |  00m00s
[144/155] Installing lua-srpm-macros-0: 100% |   1.9 MiB/s |   1.9 KiB |  00m00s
[145/155] Installing zig-srpm-macros-0: 100% |   1.6 MiB/s |   1.7 KiB |  00m00s
[146/155] Installing fonts-srpm-macros- 100% |  55.1 MiB/s |  56.5 KiB |  00m00s
[147/155] Installing forge-srpm-macros- 100% |  39.4 MiB/s |  40.3 KiB |  00m00s
[148/155] Installing go-srpm-macros-0:3 100% |  60.5 MiB/s |  62.0 KiB |  00m00s
[149/155] Installing python-srpm-macros 100% |  50.5 MiB/s |  51.7 KiB |  00m00s
[150/155] Installing redhat-rpm-config- 100% |  46.3 MiB/s | 189.7 KiB |  00m00s
[151/155] Installing rpm-build-0:4.19.1 100% |  35.5 MiB/s | 182.0 KiB |  00m00s
[152/155] Installing pyproject-srpm-mac 100% |   1.0 MiB/s |   2.1 KiB |  00m00s
[153/155] Installing util-linux-0:2.40- 100% |  84.9 MiB/s |   3.7 MiB |  00m00s
>>> Running post-install scriptlet: util-linux-0:2.40-13.fc41.x86_64
>>> Stop post-install scriptlet: util-linux-0:2.40-13.fc41.x86_64
[154/155] Installing which-0:2.21-41.fc 100% |  40.3 MiB/s |  82.4 KiB |  00m00s
[155/155] Installing info-0:7.1-2.fc40. 100% | 269.7 KiB/s | 358.2 KiB |  00m01s
>>> Running post-transaction scriptlet: filesystem-0:3.18-9.fc41.x86_64
>>> Stop post-transaction scriptlet: filesystem-0:3.18-9.fc41.x86_64
>>> Running post-transaction scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.f
>>> Stop post-transaction scriptlet: ca-certificates-0:2023.2.62_v7.0.401-6.fc40
>>> Running post-transaction scriptlet: authselect-libs-0:1.5.0-5.fc41.x86_64
>>> Stop post-transaction scriptlet: authselect-libs-0:1.5.0-5.fc41.x86_64
>>> Running post-transaction scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64
>>> Stop post-transaction scriptlet: rpm-0:4.19.1.1-1.fc40.x86_64
>>> Running trigger-install scriptlet: glibc-common-0:2.39.9000-16.fc41.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.39.9000-16.fc41.x86_64
>>> Running trigger-install scriptlet: info-0:7.1-2.fc40.x86_64
>>> Stop trigger-install scriptlet: info-0:7.1-2.fc40.x86_64
Finish: installing minimal buildroot with dnf5
Start: creating root cache
Finish: creating root cache
Finish: chroot init
INFO: Installed packages:
INFO: alternatives-1.26-3.fc40.x86_64
ansible-srpm-macros-1-15.fc41.noarch
audit-libs-4.0.1-1.fc41.x86_64
authselect-1.5.0-5.fc41.x86_64
authselect-libs-1.5.0-5.fc41.x86_64
basesystem-11-20.fc40.noarch
bash-5.2.26-3.fc40.x86_64
binutils-2.42.50-6.fc41.x86_64
binutils-gold-2.42.50-6.fc41.x86_64
bzip2-1.0.8-18.fc40.x86_64
bzip2-libs-1.0.8-18.fc40.x86_64
ca-certificates-2023.2.62_v7.0.401-6.fc40.noarch
coreutils-9.5-1.fc41.x86_64
coreutils-common-9.5-1.fc41.x86_64
cpio-2.15-1.fc40.x86_64
cracklib-2.9.11-5.fc40.x86_64
crypto-policies-20240320-1.git58e3d95.fc41.noarch
curl-8.7.1-1.fc41.x86_64
cyrus-sasl-lib-2.1.28-19.fc40.x86_64
debugedit-5.0-14.fc40.x86_64
diffutils-3.10-5.fc40.x86_64
dwz-0.15-6.fc40.x86_64
ed-1.20.2-1.fc41.x86_64
efi-srpm-macros-5-11.fc40.noarch
elfutils-0.191-7.fc41.x86_64
elfutils-debuginfod-client-0.191-7.fc41.x86_64
elfutils-default-yama-scope-0.191-7.fc41.noarch
elfutils-libelf-0.191-7.fc41.x86_64
elfutils-libs-0.191-7.fc41.x86_64
fedora-gpg-keys-41-0.1.noarch
fedora-release-41-0.9.noarch
fedora-release-common-41-0.9.noarch
fedora-release-identity-basic-41-0.9.noarch
fedora-repos-41-0.1.noarch
fedora-repos-rawhide-41-0.1.noarch
file-5.45-5.fc41.x86_64
file-libs-5.45-5.fc41.x86_64
filesystem-3.18-9.fc41.x86_64
findutils-4.9.0-8.fc40.x86_64
fonts-srpm-macros-2.0.5-14.fc40.noarch
forge-srpm-macros-0.3.1-1.fc41.noarch
fpc-srpm-macros-1.3-12.fc40.noarch
gawk-5.3.0-3.fc40.x86_64
gdb-minimal-14.2-5.fc41.x86_64
gdbm-1.23-6.fc40.x86_64
gdbm-libs-1.23-6.fc40.x86_64
ghc-srpm-macros-1.9.1-1.fc41.noarch
glibc-2.39.9000-16.fc41.x86_64
glibc-common-2.39.9000-16.fc41.x86_64
glibc-gconv-extra-2.39.9000-16.fc41.x86_64
glibc-minimal-langpack-2.39.9000-16.fc41.x86_64
gmp-6.3.0-1.fc41.x86_64
gnat-srpm-macros-6-5.fc40.noarch
go-srpm-macros-3.6.0-1.fc41.noarch
gpg-pubkey-a15b79cc-63d04c2c
gpg-pubkey-e99d6ad1-64d2612c
grep-3.11-7.fc40.x86_64
gzip-1.13-1.fc40.x86_64
info-7.1-2.fc40.x86_64
jansson-2.13.1-9.fc40.x86_64
kernel-srpm-macros-1.0-23.fc41.noarch
keyutils-libs-1.6.3-3.fc40.x86_64
krb5-libs-1.21.2-5.fc40.x86_64
libacl-2.3.2-1.fc40.x86_64
libarchive-3.7.2-3.fc41.x86_64
libattr-2.5.2-3.fc40.x86_64
libblkid-2.40-13.fc41.x86_64
libbrotli-1.1.0-3.fc40.x86_64
libcap-2.69-8.fc41.x86_64
libcap-ng-0.8.5-1.fc41.x86_64
libcom_err-1.47.0-5.fc40.x86_64
libcurl-8.7.1-1.fc41.x86_64
libeconf-0.6.2-1.fc41.x86_64
libevent-2.1.12-12.fc40.x86_64
libfdisk-2.40-13.fc41.x86_64
libffi-3.4.6-1.fc41.x86_64
libgcc-14.0.1-0.15.fc41.x86_64
libgomp-14.0.1-0.15.fc41.x86_64
libidn2-2.3.7-1.fc40.x86_64
libmount-2.40-13.fc41.x86_64
libnghttp2-1.61.0-1.fc41.x86_64
libnsl2-2.0.1-1.fc40.x86_64
libpkgconf-2.1.0-1.fc40.x86_64
libpsl-0.21.5-3.fc40.x86_64
libpwquality-1.4.5-9.fc40.x86_64
libselinux-3.6-4.fc40.x86_64
libsemanage-3.6-3.fc40.x86_64
libsepol-3.6-3.fc40.x86_64
libsmartcols-2.40-13.fc41.x86_64
libssh-0.10.6-6.fc41.x86_64
libssh-config-0.10.6-6.fc41.noarch
libstdc++-14.0.1-0.15.fc41.x86_64
libtasn1-4.19.0-6.fc40.x86_64
libtirpc-1.3.4-1.rc3.fc41.x86_64
libtool-ltdl-2.4.7-10.fc40.x86_64
libunistring-1.1-7.fc41.x86_64
libutempter-1.2.1-13.fc40.x86_64
libuuid-2.40-13.fc41.x86_64
libverto-0.3.2-8.fc40.x86_64
libxcrypt-4.4.36-5.fc40.x86_64
libxml2-2.12.6-1.fc41.x86_64
libzstd-1.5.6-1.fc41.x86_64
lua-libs-5.4.6-5.fc40.x86_64
lua-srpm-macros-1-13.fc40.noarch
lz4-libs-1.9.4-6.fc40.x86_64
mpfr-4.2.1-3.fc40.x86_64
ncurses-base-6.4-12.20240127.fc40.noarch
ncurses-libs-6.4-12.20240127.fc40.x86_64
ocaml-srpm-macros-9-3.fc40.noarch
openblas-srpm-macros-2-17.fc41.noarch
openldap-2.6.7-1.fc40.x86_64
openssl-libs-3.2.1-6.fc41.x86_64
p11-kit-0.25.3-4.fc40.x86_64
p11-kit-trust-0.25.3-4.fc40.x86_64
package-notes-srpm-macros-0.5-11.fc40.noarch
pam-1.6.1-1.fc41.x86_64
pam-libs-1.6.1-1.fc41.x86_64
patch-2.7.6-24.fc40.x86_64
pcre2-10.43-1.fc41.x86_64
pcre2-syntax-10.43-1.fc41.noarch
perl-srpm-macros-1-53.fc40.noarch
pkgconf-2.1.0-1.fc40.x86_64
pkgconf-m4-2.1.0-1.fc40.noarch
pkgconf-pkg-config-2.1.0-1.fc40.x86_64
popt-1.19-6.fc40.x86_64
publicsuffix-list-dafsa-20240107-3.fc40.noarch
pyproject-srpm-macros-1.12.0-1.fc40.noarch
python-srpm-macros-3.12-9.fc41.noarch
qt5-srpm-macros-5.15.13-1.fc41.noarch
qt6-srpm-macros-6.7.0-1.fc41.noarch
readline-8.2-8.fc40.x86_64
redhat-rpm-config-288-1.fc41.noarch
rpm-4.19.1.1-1.fc40.x86_64
rpm-build-4.19.1.1-1.fc40.x86_64
rpm-build-libs-4.19.1.1-1.fc40.x86_64
rpm-libs-4.19.1.1-1.fc40.x86_64
rpm-sequoia-1.6.0-2.fc40.x86_64
rust-srpm-macros-26.2-1.fc41.noarch
sed-4.9-1.fc40.x86_64
setup-2.14.5-2.fc40.noarch
shadow-utils-4.15.1-2.fc41.x86_64
sqlite-libs-3.45.2-1.fc41.x86_64
systemd-libs-255.5-1.fc41.x86_64
tar-1.35-3.fc40.x86_64
unzip-6.0-63.fc40.x86_64
util-linux-2.40-13.fc41.x86_64
util-linux-core-2.40-13.fc41.x86_64
which-2.21-41.fc40.x86_64
xxhash-libs-0.8.2-2.fc40.x86_64
xz-5.4.6-3.fc41.x86_64
xz-libs-5.4.6-3.fc41.x86_64
zig-srpm-macros-1-2.fc40.noarch
zip-3.0-40.fc40.x86_64
zlib-ng-compat-2.1.6-2.fc40.x86_64
zstd-1.5.6-1.fc41.x86_64
Start: buildsrpm
Start: rpmbuild -bs
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Wrote: /builddir/build/SRPMS/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Finish: rpmbuild -bs
cp: preserving permissions for ‘/var/lib/copr-rpmbuild/results/chroot_scan/var/lib/mock/fedora-rawhide-x86_64-1714164789.213900/root/var/log’: No such file or directory
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1714164789.213900/root/var/log/dnf5.log
Finish: buildsrpm
INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-yji6oehs/R-CRAN-glmnet/R-CRAN-glmnet.spec) Config(child) 0 minutes 56 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm)  Config(fedora-rawhide-x86_64)
Start: chroot init
INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1714164789.213900/root.
INFO: calling preinit hooks
INFO: enabled root cache
Start: unpacking root cache
Finish: unpacking root cache
INFO: enabled package manager cache
Start: cleaning package manager metadata
Finish: cleaning package manager metadata
INFO: enabled HW Info plugin
INFO: Buildroot is handled by package management from host and used with --installroot:
  rpm-4.19.1.1-1.fc39.x86_64
  rpm-sequoia-1.6.0-1.fc39.x86_64
  python3-dnf-4.19.2-1.fc39.noarch
  python3-dnf-plugins-core-4.6.0-1.fc39.noarch
  yum-4.19.2-1.fc39.noarch
  dnf5-5.1.17-1.fc39.x86_64
  dnf5-plugins-5.1.17-1.fc39.x86_64
Finish: chroot init
Start: build phase for R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm
Start: build setup for R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Wrote: /builddir/build/SRPMS/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm

RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Updating and loading repositories:
 fedora                                 100% | 129.0 KiB/s |  16.6 KiB |  00m00s
 Copr repository                        100% |  24.0 KiB/s |   1.5 KiB |  00m00s
 Copr repository                        100% |  34.2 MiB/s |  13.6 MiB |  00m00s
Repositories loaded.
Package                      Arch   Version                          Repository      Size
Installing:                                                                              
 R-CRAN-Matrix               x86_64 1.6.5-1.fc41.copr7355271         copr_base    7.2 MiB
 R-CRAN-Rcpp                 x86_64 1.0.12-1.fc41.copr7349917        copr_base    8.3 MiB
 R-CRAN-RcppEigen            x86_64 0.3.4.0.0-1.fc41.copr7353593     copr_base    9.0 MiB
 R-CRAN-foreach              noarch 1.5.2-1.fc41.copr7353650         copr_base  378.1 KiB
 R-CRAN-shape                noarch 1.4.6.1-1.fc41.copr7350223       copr_base  877.2 KiB
 R-CRAN-survival             x86_64 3.6.4-1.fc41.copr7357273         copr_base    8.6 MiB
 R-core                      x86_64 4.4.0-1.fc41~bootstrap           copr_base  100.5 MiB
 R-devel                     x86_64 4.4.0-1.fc41~bootstrap           copr_base    0.0   B
Installing dependencies:                                                                 
 R-CRAN-codetools            noarch 0.2.20-1.fc41.copr7352636        copr_base  106.3 KiB
 R-CRAN-iterators            noarch 1.0.14-1.fc41.copr7350017        copr_base  438.6 KiB
 R-CRAN-lattice              x86_64 0.22.6-1.fc41.copr7352639        copr_base    2.0 MiB
 R-core-devel                x86_64 4.4.0-1.fc41~bootstrap           copr_base  394.1 KiB
 R-java                      x86_64 4.4.0-1.fc41~bootstrap           copr_base    0.0   B
 R-java-devel                x86_64 4.4.0-1.fc41~bootstrap           copr_base    0.0   B
 R-littler                   x86_64 0.3.19-3.fc40                    fedora     189.7 KiB
 R-rpm-macros                noarch 1.2.1-9.fc40                     fedora       5.6 KiB
 abattis-cantarell-vf-fonts  noarch 0.301-12.fc40                    fedora     192.7 KiB
 alsa-lib                    x86_64 1.2.11-2.fc40                    fedora       1.4 MiB
 annobin-docs                noarch 12.52-1.fc41                     fedora      96.2 KiB
 annobin-plugin-gcc          x86_64 12.52-1.fc41                     fedora     971.6 KiB
 avahi-libs                  x86_64 0.8-26.fc40                      fedora     166.3 KiB
 brotli                      x86_64 1.1.0-3.fc40                     fedora      31.8 KiB
 brotli-devel                x86_64 1.1.0-3.fc40                     fedora      65.6 KiB
 bzip2-devel                 x86_64 1.0.8-18.fc40                    fedora     309.8 KiB
 cairo                       x86_64 1.18.0-3.fc40                    fedora       1.7 MiB
 cairo-devel                 x86_64 1.18.0-3.fc40                    fedora       2.3 MiB
 cmake-filesystem            x86_64 3.28.3-4.fc41                    fedora       0.0   B
 copy-jdk-configs            noarch 4.1-5.fc40                       fedora      20.3 KiB
 cpp                         x86_64 14.0.1-0.15.fc41                 fedora      34.9 MiB
 crypto-policies-scripts     noarch 20240320-1.git58e3d95.fc41       fedora     323.2 KiB
 cups-libs                   x86_64 1:2.4.7-13.fc41                  fedora     618.8 KiB
 dbus-libs                   x86_64 1:1.14.10-3.fc40                 fedora     368.9 KiB
 default-fonts-core-sans     noarch 4.0-13.fc41                      fedora      11.9 KiB
 desktop-file-utils          x86_64 0.26-12.fc40                     fedora     226.0 KiB
 emacs-filesystem            noarch 1:30.0-2.fc41                    fedora       0.0   B
 expat                       x86_64 2.6.2-1.fc41                     fedora     280.8 KiB
 flexiblas                   x86_64 3.4.2-1.fc41                     fedora      46.9 KiB
 flexiblas-devel             x86_64 3.4.2-1.fc41                     fedora       4.7 MiB
 flexiblas-netlib            x86_64 3.4.2-1.fc41                     fedora      10.4 MiB
 flexiblas-netlib64          x86_64 3.4.2-1.fc41                     fedora      10.5 MiB
 flexiblas-openblas-openmp   x86_64 3.4.2-1.fc41                     fedora      39.3 KiB
 flexiblas-openblas-openmp64 x86_64 3.4.2-1.fc41                     fedora      39.3 KiB
 fontconfig                  x86_64 2.15.0-4.fc40                    fedora     767.3 KiB
 fontconfig-devel            x86_64 2.15.0-4.fc40                    fedora     117.2 KiB
 fonts-filesystem            noarch 1:2.0.5-14.fc40                  fedora       0.0   B
 freetype                    x86_64 2.13.2-5.fc40                    fedora     842.6 KiB
 freetype-devel              x86_64 2.13.2-5.fc40                    fedora       7.8 MiB
 fribidi                     x86_64 1.0.13-4.fc40                    fedora     365.3 KiB
 gc                          x86_64 8.2.2-6.fc40                     fedora     258.7 KiB
 gcc                         x86_64 14.0.1-0.15.fc41                 fedora     103.9 MiB
 gcc-c++                     x86_64 14.0.1-0.15.fc41                 fedora      38.1 MiB
 gcc-gfortran                x86_64 14.0.1-0.15.fc41                 fedora      37.2 MiB
 gcc-plugin-annobin          x86_64 14.0.1-0.15.fc41                 fedora      57.1 KiB
 gettext                     x86_64 0.22.5-2.fc41                    fedora       5.2 MiB
 gettext-envsubst            x86_64 0.22.5-2.fc41                    fedora      74.9 KiB
 gettext-libs                x86_64 0.22.5-2.fc41                    fedora       1.7 MiB
 gettext-runtime             x86_64 0.22.5-2.fc41                    fedora     481.3 KiB
 glib2                       x86_64 2.80.0-1.fc41                    fedora      14.4 MiB
 glib2-devel                 x86_64 2.80.0-1.fc41                    fedora      15.4 MiB
 glibc-devel                 x86_64 2.39.9000-16.fc41                fedora      36.7 KiB
 glibc-headers-x86           noarch 2.39.9000-16.fc41                fedora       2.2 MiB
 gnutls                      x86_64 3.8.5-1.fc41                     fedora       3.2 MiB
 google-noto-fonts-common    noarch 20240401-1.fc41                  fedora      17.5 KiB
 google-noto-sans-vf-fonts   noarch 20240401-1.fc41                  fedora       1.2 MiB
 graphite2                   x86_64 1.3.14-15.fc40                   fedora     192.0 KiB
 graphite2-devel             x86_64 1.3.14-15.fc40                   fedora      49.1 KiB
 guile30                     x86_64 3.0.7-12.fc40                    fedora      51.5 MiB
 harfbuzz                    x86_64 8.4.0-1.fc41                     fedora       2.6 MiB
 harfbuzz-devel              x86_64 8.4.0-1.fc41                     fedora       5.1 MiB
 harfbuzz-icu                x86_64 8.4.0-1.fc41                     fedora      15.5 KiB
 java-21-openjdk             x86_64 1:21.0.2.0.13-3.fc41             fedora       1.1 MiB
 java-21-openjdk-devel       x86_64 1:21.0.2.0.13-3.fc41             fedora      11.2 MiB
 java-21-openjdk-headless    x86_64 1:21.0.2.0.13-3.fc41             fedora     204.9 MiB
 javapackages-filesystem     noarch 6.2.0-9.fc41                     fedora       1.9 KiB
 jbigkit-libs                x86_64 2.1-29.fc40                      fedora     117.6 KiB
 kernel-headers              x86_64 6.9.0-0.rc5.44.fc41              fedora       6.3 MiB
 libICE                      x86_64 1.1.1-3.fc40                     fedora     181.2 KiB
 libRmath                    x86_64 4.4.0-1.fc41~bootstrap           copr_base  242.8 KiB
 libRmath-devel              x86_64 4.4.0-1.fc41~bootstrap           copr_base   17.4 KiB
 libSM                       x86_64 1.2.4-3.fc40                     fedora      97.3 KiB
 libX11                      x86_64 1.8.9-1.fc41                     fedora       1.3 MiB
 libX11-common               noarch 1.8.9-1.fc41                     fedora       1.1 MiB
 libX11-devel                x86_64 1.8.9-1.fc41                     fedora       1.0 MiB
 libX11-xcb                  x86_64 1.8.9-1.fc41                     fedora      15.0 KiB
 libXau                      x86_64 1.0.11-6.fc40                    fedora      66.9 KiB
 libXau-devel                x86_64 1.0.11-6.fc40                    fedora       6.4 KiB
 libXcomposite               x86_64 0.4.6-3.fc40                     fedora      44.5 KiB
 libXext                     x86_64 1.3.6-1.fc40                     fedora      90.1 KiB
 libXext-devel               x86_64 1.3.6-1.fc40                     fedora      98.9 KiB
 libXft                      x86_64 2.3.8-6.fc40                     fedora     164.5 KiB
 libXft-devel                x86_64 2.3.8-6.fc40                     fedora      31.7 KiB
 libXi                       x86_64 1.8.1-5.fc40                     fedora      80.7 KiB
 libXmu                      x86_64 1.2.1-1.fc41                     fedora     187.5 KiB
 libXrender                  x86_64 0.9.11-6.fc40                    fedora      50.1 KiB
 libXrender-devel            x86_64 0.9.11-6.fc40                    fedora      50.1 KiB
 libXt                       x86_64 1.3.0-3.fc40                     fedora     425.9 KiB
 libXtst                     x86_64 1.2.4-6.fc40                     fedora      33.6 KiB
 libb2                       x86_64 0.98.1-11.fc40                   fedora      42.2 KiB
 libblkid-devel              x86_64 2.40-13.fc41                     fedora      44.9 KiB
 libdatrie                   x86_64 0.2.13-9.fc40                    fedora      57.9 KiB
 libffi-devel                x86_64 3.4.6-1.fc41                     fedora      33.1 KiB
 libfontenc                  x86_64 1.1.8-1.fc41                     fedora      67.0 KiB
 libgfortran                 x86_64 14.0.1-0.15.fc41                 fedora       2.9 MiB
 libicu                      x86_64 74.2-1.fc40                      fedora      34.9 MiB
 libicu-devel                x86_64 74.2-1.fc40                      fedora       5.6 MiB
 libjpeg-turbo               x86_64 3.0.2-2.fc41                     fedora     772.9 KiB
 liblerc                     x86_64 4.0.0-6.fc40                     fedora     603.5 KiB
 libmount-devel              x86_64 2.40-13.fc41                     fedora      63.5 KiB
 libmpc                      x86_64 1.3.1-5.fc40                     fedora     164.7 KiB
 libpng                      x86_64 2:1.6.40-3.fc40                  fedora     241.8 KiB
 libpng-devel                x86_64 2:1.6.40-3.fc40                  fedora     881.5 KiB
 libquadmath                 x86_64 14.0.1-0.15.fc41                 fedora     325.9 KiB
 libquadmath-devel           x86_64 14.0.1-0.15.fc41                 fedora      21.8 KiB
 libselinux-devel            x86_64 3.6-4.fc40                       fedora     126.1 KiB
 libsepol-devel              x86_64 3.6-3.fc40                       fedora     120.2 KiB
 libstdc++-devel             x86_64 14.0.1-0.15.fc41                 fedora      15.4 MiB
 libtextstyle                x86_64 0.22.5-2.fc41                    fedora     195.6 KiB
 libthai                     x86_64 0.1.29-8.fc40                    fedora     783.5 KiB
 libtiff                     x86_64 4.6.0-2.fc40                     fedora       1.1 MiB
 libtirpc-devel              x86_64 1.3.4-1.rc3.fc41                 fedora     251.6 KiB
 libwebp                     x86_64 1.4.0-1.fc41                     fedora     802.7 KiB
 libxcb                      x86_64 1.17.0-1.fc41                    fedora       1.1 MiB
 libxcb-devel                x86_64 1.17.0-1.fc41                    fedora       2.7 MiB
 libxcrypt-devel             x86_64 4.4.36-5.fc40                    fedora      30.3 KiB
 libxml2-devel               x86_64 2.12.6-1.fc41                    fedora       3.4 MiB
 lksctp-tools                x86_64 1.0.19-6.fc40                    fedora     269.6 KiB
 lua                         x86_64 5.4.6-5.fc40                     fedora     597.8 KiB
 lua-posix                   x86_64 36.2.1-6.fc40                    fedora     599.7 KiB
 make                        x86_64 1:4.4.1-6.fc40                   fedora       1.8 MiB
 mkfontscale                 x86_64 1.2.2-6.fc40                     fedora      49.2 KiB
 mpdecimal                   x86_64 2.5.1-9.fc40                     fedora     200.9 KiB
 nettle                      x86_64 3.9.1-6.fc40                     fedora     790.1 KiB
 nspr                        x86_64 4.35.0-22.fc41                   fedora     312.7 KiB
 nss                         x86_64 3.99.0-1.fc41                    fedora       1.9 MiB
 nss-softokn                 x86_64 3.99.0-1.fc41                    fedora       1.9 MiB
 nss-softokn-freebl          x86_64 3.99.0-1.fc41                    fedora     896.6 KiB
 nss-sysinit                 x86_64 3.99.0-1.fc41                    fedora      18.2 KiB
 nss-util                    x86_64 3.99.0-1.fc41                    fedora     226.1 KiB
 openblas                    x86_64 0.3.26-4.fc40                    fedora      96.0 KiB
 openblas-openmp             x86_64 0.3.26-4.fc40                    fedora      38.9 MiB
 openblas-openmp64           x86_64 0.3.26-4.fc40                    fedora      39.1 MiB
 pango                       x86_64 1.52.2-1.fc41                    fedora     995.8 KiB
 pcre2-devel                 x86_64 10.43-1.fc41                     fedora       2.0 MiB
 pcre2-utf16                 x86_64 10.43-1.fc41                     fedora     590.1 KiB
 pcre2-utf32                 x86_64 10.43-1.fc41                     fedora     557.9 KiB
 pixman                      x86_64 0.43.4-1.fc41                    fedora     710.1 KiB
 pixman-devel                x86_64 0.43.4-1.fc41                    fedora      49.4 KiB
 python-pip-wheel            noarch 24.0-2.fc41                      fedora       1.5 MiB
 python3                     x86_64 3.12.3-2.fc41                    fedora      31.5 KiB
 python3-libs                x86_64 3.12.3-2.fc41                    fedora      40.9 MiB
 python3-packaging           noarch 24.0-1.fc41                      fedora     424.8 KiB
 sysprof-capture-devel       x86_64 46.0-1.fc41                      fedora     252.8 KiB
 tcl                         x86_64 1:8.6.14-1.fc41                  fedora       4.2 MiB
 tcl-devel                   x86_64 1:8.6.14-1.fc41                  fedora     791.4 KiB
 tk                          x86_64 1:8.6.14-1.fc41                  fedora       3.6 MiB
 tk-devel                    x86_64 1:8.6.14-1.fc41                  fedora     985.0 KiB
 tre                         x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora      75.9 KiB
 tre-common                  noarch 0.8.0-43.20140228gitc2f5d13.fc40 fedora      81.0 KiB
 tre-devel                   x86_64 0.8.0-43.20140228gitc2f5d13.fc40 fedora      10.7 KiB
 ttmkfdir                    x86_64 3.0.9-70.fc40                    fedora     122.7 KiB
 tzdata                      noarch 2024a-5.fc41                     fedora       1.6 MiB
 tzdata-java                 noarch 2024a-5.fc41                     fedora     101.7 KiB
 xdg-utils                   noarch 1.2.1-1.fc41                     fedora     346.3 KiB
 xml-common                  noarch 0.6.3-63.fc40                    fedora      78.4 KiB
 xorg-x11-fonts-Type1        noarch 7.5-38.fc40                      fedora     863.3 KiB
 xorg-x11-proto-devel        noarch 2024.1-1.fc41                    fedora       1.7 MiB
 xz-devel                    x86_64 1:5.4.6-3.fc41                   fedora     255.8 KiB
 zlib-ng-compat-devel        x86_64 2.1.6-2.fc40                     fedora     103.4 KiB

Transaction Summary:
 Installing:      168 packages

Total size of inbound packages is 295 MiB. Need to download 295 MiB.
After this operation 952 MiB will be used (install 952 MiB, remove 0 B).
[  1/168] R-CRAN-Rcpp-0:1.0.12-1.fc41.c 100% |  10.3 MiB/s |   2.0 MiB |  00m00s
[  2/168] R-CRAN-RcppEigen-0:0.3.4.0.0- 100% |   6.8 MiB/s |   1.4 MiB |  00m00s
[  3/168] R-CRAN-foreach-0:1.5.2-1.fc41 100% |   5.0 MiB/s | 142.8 KiB |  00m00s
[  4/168] R-CRAN-Matrix-0:1.6.5-1.fc41. 100% |  13.5 MiB/s |   4.1 MiB |  00m00s
[  5/168] R-CRAN-shape-0:1.4.6.1-1.fc41 100% |   6.5 MiB/s | 751.9 KiB |  00m00s
[  6/168] R-CRAN-survival-0:3.6.4-1.fc4 100% |  40.2 MiB/s |   6.2 MiB |  00m00s
[  7/168] R-devel-0:4.4.0-1.fc41~bootst 100% | 147.1 KiB/s |  10.7 KiB |  00m00s
[  8/168] R-littler-0:0.3.19-3.fc40.x86 100% | 209.1 KiB/s |  76.3 KiB |  00m00s
[  9/168] R-CRAN-iterators-0:1.0.14-1.f 100% |  13.0 MiB/s | 345.8 KiB |  00m00s
[ 10/168] R-rpm-macros-0:1.2.1-9.fc40.n 100% | 205.7 KiB/s |  11.1 KiB |  00m00s
[ 11/168] R-core-devel-0:4.4.0-1.fc41~b 100% |   3.1 MiB/s |  88.2 KiB |  00m00s
[ 12/168] R-java-devel-0:4.4.0-1.fc41~b 100% | 225.1 KiB/s |  10.8 KiB |  00m00s
[ 13/168] cairo-0:1.18.0-3.fc40.x86_64  100% |   2.7 MiB/s | 708.9 KiB |  00m00s
[ 14/168] flexiblas-netlib-0:3.4.2-1.fc 100% |   3.7 MiB/s |   3.2 MiB |  00m01s
[ 15/168] R-core-0:4.4.0-1.fc41~bootstr 100% |  38.1 MiB/s |  62.5 MiB |  00m02s
[ 16/168] libXmu-0:1.2.1-1.fc41.x86_64  100% | 155.3 KiB/s |  77.6 KiB |  00m01s
[ 17/168] glib2-0:2.80.0-1.fc41.x86_64  100% |   1.8 MiB/s |   3.0 MiB |  00m02s
[ 18/168] libXt-0:1.3.0-3.fc40.x86_64   100% | 409.9 KiB/s | 177.5 KiB |  00m00s
[ 19/168] libX11-0:1.8.9-1.fc41.x86_64  100% | 384.7 KiB/s | 647.8 KiB |  00m02s
[ 20/168] libpng-2:1.6.40-3.fc40.x86_64 100% | 398.4 KiB/s | 119.9 KiB |  00m00s
[ 21/168] libjpeg-turbo-0:3.0.2-2.fc41. 100% | 497.6 KiB/s | 226.4 KiB |  00m00s
[ 22/168] libtiff-0:4.6.0-2.fc40.x86_64 100% | 551.3 KiB/s | 332.4 KiB |  00m01s
[ 23/168] pango-0:1.52.2-1.fc41.x86_64  100% | 683.0 KiB/s | 347.0 KiB |  00m01s
[ 24/168] tcl-1:8.6.14-1.fc41.x86_64    100% | 852.2 KiB/s |   1.1 MiB |  00m01s
[ 25/168] tre-0:0.8.0-43.20140228gitc2f 100% | 381.5 KiB/s |  43.5 KiB |  00m00s
[ 26/168] libicu-0:74.2-1.fc40.x86_64   100% |   4.2 MiB/s |  10.4 MiB |  00m02s
[ 27/168] libRmath-0:4.4.0-1.fc41~boots 100% |   7.1 MiB/s | 123.7 KiB |  00m00s
[ 28/168] tk-1:8.6.14-1.fc41.x86_64     100% |   1.1 MiB/s |   1.6 MiB |  00m02s
[ 29/168] xdg-utils-0:1.2.1-1.fc41.noar 100% | 708.3 KiB/s |  83.6 KiB |  00m00s
[ 30/168] flexiblas-0:3.4.2-1.fc41.x86_ 100% | 865.5 KiB/s |  25.1 KiB |  00m00s
[ 31/168] flexiblas-openblas-openmp-0:3 100% | 489.6 KiB/s |  17.6 KiB |  00m00s
[ 32/168] libgfortran-0:14.0.1-0.15.fc4 100% |   5.8 MiB/s | 931.6 KiB |  00m00s
[ 33/168] libRmath-devel-0:4.4.0-1.fc41 100% |   1.0 MiB/s |  16.3 KiB |  00m00s
[ 34/168] libquadmath-0:14.0.1-0.15.fc4 100% | 998.5 KiB/s | 194.7 KiB |  00m00s
[ 35/168] R-java-0:4.4.0-1.fc41~bootstr 100% | 870.6 KiB/s |  11.3 KiB |  00m00s
[ 36/168] make-1:4.4.1-6.fc40.x86_64    100% |   2.4 MiB/s | 587.6 KiB |  00m00s
[ 37/168] fontconfig-0:2.15.0-4.fc40.x8 100% | 684.0 KiB/s | 269.5 KiB |  00m00s
[ 38/168] libXext-0:1.3.6-1.fc40.x86_64 100% | 141.5 KiB/s |  38.9 KiB |  00m00s
[ 39/168] java-21-openjdk-devel-1:21.0. 100% |   6.9 MiB/s |   5.0 MiB |  00m01s
[ 40/168] freetype-0:2.13.2-5.fc40.x86_ 100% | 654.5 KiB/s | 409.7 KiB |  00m01s
[ 41/168] libXrender-0:0.9.11-6.fc40.x8 100% |   1.1 MiB/s |  27.4 KiB |  00m00s
[ 42/168] libxcb-0:1.17.0-1.fc41.x86_64 100% |   5.6 MiB/s | 239.1 KiB |  00m00s
[ 43/168] pixman-0:0.43.4-1.fc41.x86_64 100% |   4.2 MiB/s | 293.3 KiB |  00m00s
[ 44/168] gnutls-0:3.8.5-1.fc41.x86_64  100% |   3.7 MiB/s |   1.1 MiB |  00m00s
[ 45/168] libICE-0:1.1.1-3.fc40.x86_64  100% | 318.2 KiB/s |  74.5 KiB |  00m00s
[ 46/168] libX11-common-0:1.8.9-1.fc41. 100% | 654.6 KiB/s | 176.1 KiB |  00m00s
[ 47/168] libSM-0:1.2.4-3.fc40.x86_64   100% |   1.3 MiB/s |  43.0 KiB |  00m00s
[ 48/168] jbigkit-libs-0:2.1-29.fc40.x8 100% | 727.8 KiB/s |  53.1 KiB |  00m00s
[ 49/168] liblerc-0:4.0.0-6.fc40.x86_64 100% |   1.5 MiB/s | 210.1 KiB |  00m00s
[ 50/168] libwebp-0:1.4.0-1.fc41.x86_64 100% |   1.5 MiB/s | 290.9 KiB |  00m00s
[ 51/168] fribidi-0:1.0.13-4.fc40.x86_6 100% | 556.3 KiB/s |  91.2 KiB |  00m00s
[ 52/168] harfbuzz-0:8.4.0-1.fc41.x86_6 100% |   2.6 MiB/s |   1.0 MiB |  00m00s
[ 53/168] libXft-0:2.3.8-6.fc40.x86_64  100% | 234.9 KiB/s |  72.1 KiB |  00m00s
[ 54/168] libthai-0:0.1.29-8.fc40.x86_6 100% | 659.8 KiB/s | 213.8 KiB |  00m00s
[ 55/168] tre-common-0:0.8.0-43.2014022 100% | 577.7 KiB/s |  31.2 KiB |  00m00s
[ 56/168] desktop-file-utils-0:0.26-12. 100% | 886.1 KiB/s |  68.2 KiB |  00m00s
[ 57/168] java-21-openjdk-1:21.0.2.0.13 100% | 519.9 KiB/s | 433.1 KiB |  00m01s
[ 58/168] openblas-openmp-0:0.3.26-4.fc 100% |   4.2 MiB/s |   5.1 MiB |  00m01s
[ 59/168] default-fonts-core-sans-0:4.0 100% | 171.2 KiB/s |  31.5 KiB |  00m00s
[ 60/168] fonts-filesystem-1:2.0.5-14.f 100% |  62.7 KiB/s |   8.2 KiB |  00m00s
[ 61/168] xml-common-0:0.6.3-63.fc40.no 100% | 224.5 KiB/s |  31.0 KiB |  00m00s
[ 62/168] libXau-0:1.0.11-6.fc40.x86_64 100% | 192.1 KiB/s |  31.7 KiB |  00m00s
[ 63/168] nettle-0:3.9.1-6.fc40.x86_64  100% | 800.1 KiB/s | 424.9 KiB |  00m01s
[ 64/168] graphite2-0:1.3.14-15.fc40.x8 100% | 474.2 KiB/s |  94.8 KiB |  00m00s
[ 65/168] libdatrie-0:0.2.13-9.fc40.x86 100% | 255.8 KiB/s |  32.0 KiB |  00m00s
[ 66/168] emacs-filesystem-1:30.0-2.fc4 100% |  52.2 KiB/s |   7.1 KiB |  00m00s
[ 67/168] gc-0:8.2.2-6.fc40.x86_64      100% | 615.8 KiB/s | 110.2 KiB |  00m00s
[ 68/168] libXcomposite-0:0.4.6-3.fc40. 100% | 192.1 KiB/s |  24.2 KiB |  00m00s
[ 69/168] libXi-0:1.8.1-5.fc40.x86_64   100% | 404.8 KiB/s |  39.7 KiB |  00m00s
[ 70/168] libXtst-0:1.2.4-6.fc40.x86_64 100% | 210.7 KiB/s |  20.4 KiB |  00m00s
[ 71/168] xorg-x11-fonts-Type1-0:7.5-38 100% | 528.4 KiB/s | 504.1 KiB |  00m01s
[ 72/168] alsa-lib-0:1.2.11-2.fc40.x86_ 100% | 790.6 KiB/s | 513.9 KiB |  00m01s
[ 73/168] copy-jdk-configs-0:4.1-5.fc40 100% |  52.5 KiB/s |  27.6 KiB |  00m01s
[ 74/168] javapackages-filesystem-0:6.2 100% |  31.0 KiB/s |  12.3 KiB |  00m00s
[ 75/168] lksctp-tools-0:1.0.19-6.fc40. 100% | 185.0 KiB/s |  92.1 KiB |  00m00s
[ 76/168] tzdata-java-0:2024a-5.fc41.no 100% | 290.8 KiB/s |  47.1 KiB |  00m00s
[ 77/168] abattis-cantarell-vf-fonts-0: 100% | 296.4 KiB/s | 120.3 KiB |  00m00s
[ 78/168] java-21-openjdk-headless-1:21 100% |   7.2 MiB/s |  47.8 MiB |  00m07s
[ 79/168] google-noto-sans-vf-fonts-0:2 100% | 942.1 KiB/s | 593.5 KiB |  00m01s
[ 80/168] mkfontscale-0:1.2.2-6.fc40.x8 100% | 173.8 KiB/s |  31.8 KiB |  00m00s
[ 81/168] ttmkfdir-0:3.0.9-70.fc40.x86_ 100% | 325.7 KiB/s |  56.0 KiB |  00m00s
[ 82/168] guile30-0:3.0.7-12.fc40.x86_6 100% |   1.0 MiB/s |   8.1 MiB |  00m08s
[ 83/168] lua-posix-0:36.2.1-6.fc40.x86 100% | 474.8 KiB/s | 142.4 KiB |  00m00s
[ 84/168] google-noto-fonts-common-0:20 100% |  58.3 KiB/s |  17.5 KiB |  00m00s
[ 85/168] libfontenc-0:1.1.8-1.fc41.x86 100% |   1.4 MiB/s |  32.4 KiB |  00m00s
[ 86/168] bzip2-devel-0:1.0.8-18.fc40.x 100% |   5.1 MiB/s | 213.5 KiB |  00m00s
[ 87/168] flexiblas-devel-0:3.4.2-1.fc4 100% |   2.7 MiB/s | 121.0 KiB |  00m00s
[ 88/168] flexiblas-openblas-openmp64-0 100% |  82.6 KiB/s |  17.7 KiB |  00m00s
[ 89/168] flexiblas-netlib64-0:3.4.2-1. 100% |   8.5 MiB/s |   3.0 MiB |  00m00s
[ 90/168] openblas-openmp64-0:0.3.26-4. 100% |   5.8 MiB/s |   4.9 MiB |  00m01s
[ 91/168] libmpc-0:1.3.1-5.fc40.x86_64  100% | 357.5 KiB/s |  71.1 KiB |  00m00s
[ 92/168] annobin-plugin-gcc-0:12.52-1. 100% | 588.0 KiB/s | 961.9 KiB |  00m02s
[ 93/168] gcc-plugin-annobin-0:14.0.1-0 100% | 401.4 KiB/s |  47.8 KiB |  00m00s
[ 94/168] gcc-0:14.0.1-0.15.fc41.x86_64 100% |   8.6 MiB/s |  37.1 MiB |  00m04s
[ 95/168] annobin-docs-0:12.52-1.fc41.n 100% | 352.8 KiB/s |  90.0 KiB |  00m00s
[ 96/168] cpp-0:14.0.1-0.15.fc41.x86_64 100% |   3.2 MiB/s |  11.9 MiB |  00m04s
[ 97/168] libX11-devel-0:1.8.9-1.fc41.x 100% | 744.0 KiB/s |   1.0 MiB |  00m01s
[ 98/168] libX11-xcb-0:1.8.9-1.fc41.x86 100% |  62.0 KiB/s |  11.8 KiB |  00m00s
[ 99/168] gcc-gfortran-0:14.0.1-0.15.fc 100% |   3.9 MiB/s |  13.4 MiB |  00m03s
[100/168] xorg-x11-proto-devel-0:2024.1 100% | 426.9 KiB/s | 300.5 KiB |  00m01s
[101/168] libtirpc-devel-0:1.3.4-1.rc3. 100% | 326.1 KiB/s | 124.3 KiB |  00m00s
[102/168] gcc-c++-0:14.0.1-0.15.fc41.x8 100% |   1.3 MiB/s |  14.2 MiB |  00m11s
[103/168] pcre2-devel-0:10.43-1.fc41.x8 100% | 208.6 KiB/s | 519.8 KiB |  00m02s
[104/168] libicu-devel-0:74.2-1.fc40.x8 100% | 266.5 KiB/s | 929.9 KiB |  00m03s
[105/168] pcre2-utf16-0:10.43-1.fc41.x8 100% | 228.0 KiB/s | 221.9 KiB |  00m01s
[106/168] pcre2-utf32-0:10.43-1.fc41.x8 100% | 264.7 KiB/s | 209.3 KiB |  00m01s
[107/168] tcl-devel-1:8.6.14-1.fc41.x86 100% | 218.3 KiB/s | 170.1 KiB |  00m01s
[108/168] tk-devel-1:8.6.14-1.fc41.x86_ 100% | 811.2 KiB/s | 541.1 KiB |  00m01s
[109/168] tre-devel-0:0.8.0-43.20140228 100% |  26.5 KiB/s |  11.8 KiB |  00m00s
[110/168] R-CRAN-codetools-0:0.2.20-1.f 100% |   5.2 MiB/s | 100.8 KiB |  00m00s
[111/168] xz-devel-1:5.4.6-3.fc41.x86_6 100% | 181.5 KiB/s |  67.2 KiB |  00m00s
[112/168] zlib-ng-compat-devel-0:2.1.6- 100% | 501.6 KiB/s |  36.1 KiB |  00m00s
[113/168] R-CRAN-lattice-0:0.22.6-1.fc4 100% |  21.3 MiB/s |   1.4 MiB |  00m00s
[114/168] libXft-devel-0:2.3.8-6.fc40.x 100% | 737.8 KiB/s |  50.2 KiB |  00m00s
[115/168] openblas-0:0.3.26-4.fc40.x86_ 100% | 666.3 KiB/s |  38.6 KiB |  00m00s
[116/168] fontconfig-devel-0:2.15.0-4.f 100% |   1.5 MiB/s | 165.0 KiB |  00m00s
[117/168] gettext-0:0.22.5-2.fc41.x86_6 100% |   2.0 MiB/s |   1.1 MiB |  00m01s
[118/168] gettext-libs-0:0.22.5-2.fc41. 100% | 900.3 KiB/s | 665.3 KiB |  00m01s
[119/168] gettext-runtime-0:0.22.5-2.fc 100% | 177.6 KiB/s | 122.6 KiB |  00m01s
[120/168] libtextstyle-0:0.22.5-2.fc41. 100% | 347.9 KiB/s |  88.7 KiB |  00m00s
[121/168] gettext-envsubst-0:0.22.5-2.f 100% | 690.9 KiB/s |  38.0 KiB |  00m00s
[122/168] freetype-devel-0:2.13.2-5.fc4 100% |   3.3 MiB/s | 951.2 KiB |  00m00s
[123/168] libXrender-devel-0:0.9.11-6.f 100% |  71.3 KiB/s |  19.0 KiB |  00m00s
[124/168] libxcb-devel-0:1.17.0-1.fc41. 100% |   2.4 MiB/s |   1.4 MiB |  00m01s
[125/168] cups-libs-1:2.4.7-13.fc41.x86 100% | 633.6 KiB/s | 258.5 KiB |  00m00s
[126/168] avahi-libs-0:0.8-26.fc40.x86_ 100% | 158.4 KiB/s |  66.5 KiB |  00m00s
[127/168] dbus-libs-1:1.14.10-3.fc40.x8 100% |   1.4 MiB/s | 156.3 KiB |  00m00s
[128/168] nss-0:3.99.0-1.fc41.x86_64    100% |   3.5 MiB/s | 703.8 KiB |  00m00s
[129/168] crypto-policies-scripts-0:202 100% | 604.3 KiB/s | 120.9 KiB |  00m00s
[130/168] nspr-0:4.35.0-22.fc41.x86_64  100% | 712.1 KiB/s | 137.4 KiB |  00m00s
[131/168] nss-softokn-0:3.99.0-1.fc41.x 100% |   2.9 MiB/s | 409.5 KiB |  00m00s
[132/168] nss-sysinit-0:3.99.0-1.fc41.x 100% | 147.0 KiB/s |  18.7 KiB |  00m00s
[133/168] nss-util-0:3.99.0-1.fc41.x86_ 100% | 794.2 KiB/s |  88.2 KiB |  00m00s
[134/168] nss-softokn-freebl-0:3.99.0-1 100% |   4.1 MiB/s | 385.9 KiB |  00m00s
[135/168] libquadmath-devel-0:14.0.1-0. 100% | 433.5 KiB/s |  36.8 KiB |  00m00s
[136/168] glibc-devel-0:2.39.9000-16.fc 100% | 312.4 KiB/s | 125.3 KiB |  00m00s
[137/168] libstdc++-devel-0:14.0.1-0.15 100% |   4.7 MiB/s |   2.7 MiB |  00m01s
[138/168] glibc-headers-x86-0:2.39.9000 100% |   1.0 MiB/s | 616.5 KiB |  00m01s
[139/168] libxcrypt-devel-0:4.4.36-5.fc 100% | 156.5 KiB/s |  28.6 KiB |  00m00s
[140/168] brotli-devel-0:1.1.0-3.fc40.x 100% | 445.3 KiB/s |  33.8 KiB |  00m00s
[141/168] brotli-0:1.1.0-3.fc40.x86_64  100% | 949.7 KiB/s |  19.9 KiB |  00m00s
[142/168] harfbuzz-devel-0:8.4.0-1.fc41 100% |   5.5 MiB/s | 451.0 KiB |  00m00s
[143/168] harfbuzz-icu-0:8.4.0-1.fc41.x 100% | 208.6 KiB/s |  16.1 KiB |  00m00s
[144/168] libpng-devel-2:1.6.40-3.fc40. 100% |   2.7 MiB/s | 290.6 KiB |  00m00s
[145/168] libxml2-devel-0:2.12.6-1.fc41 100% |   4.5 MiB/s | 524.7 KiB |  00m00s
[146/168] cmake-filesystem-0:3.28.3-4.f 100% | 155.3 KiB/s |  17.9 KiB |  00m00s
[147/168] python3-0:3.12.3-2.fc41.x86_6 100% | 324.3 KiB/s |  27.2 KiB |  00m00s
[148/168] expat-0:2.6.2-1.fc41.x86_64   100% |  27.9 KiB/s | 113.2 KiB |  00m04s
[149/168] libb2-0:0.98.1-11.fc40.x86_64 100% |   6.3 KiB/s |  25.5 KiB |  00m04s
[150/168] mpdecimal-0:2.5.1-9.fc40.x86_ 100% |  67.3 KiB/s |  88.6 KiB |  00m01s
[151/168] python3-libs-0:3.12.3-2.fc41. 100% |   1.4 MiB/s |   9.1 MiB |  00m06s
[152/168] tzdata-0:2024a-5.fc41.noarch  100% | 617.8 KiB/s | 716.0 KiB |  00m01s
[153/168] python-pip-wheel-0:24.0-2.fc4 100% | 569.2 KiB/s |   1.5 MiB |  00m03s
[154/168] lua-0:5.4.6-5.fc40.x86_64     100% | 578.2 KiB/s | 190.8 KiB |  00m00s
[155/168] libXau-devel-0:1.0.11-6.fc40. 100% |  39.7 KiB/s |  13.7 KiB |  00m00s
[156/168] cairo-devel-0:1.18.0-3.fc40.x 100% |   1.1 MiB/s | 192.7 KiB |  00m00s
[157/168] glib2-devel-0:2.80.0-1.fc41.x 100% |   1.9 MiB/s |   1.5 MiB |  00m01s
[158/168] python3-packaging-0:24.0-1.fc 100% | 168.9 KiB/s | 126.2 KiB |  00m01s
[159/168] graphite2-devel-0:1.3.14-15.f 100% |  27.8 KiB/s |  20.6 KiB |  00m01s
[160/168] kernel-headers-0:6.9.0-0.rc5. 100% | 676.9 KiB/s |   1.6 MiB |  00m02s
[161/168] libffi-devel-0:3.4.6-1.fc41.x 100% |  12.3 KiB/s |  28.7 KiB |  00m02s
[162/168] libmount-devel-0:2.40-13.fc41 100% |  11.6 KiB/s |  27.0 KiB |  00m02s
[163/168] libselinux-devel-0:3.6-4.fc40 100% |   1.3 MiB/s | 150.9 KiB |  00m00s
[164/168] libsepol-devel-0:3.6-3.fc40.x 100% | 431.5 KiB/s |  48.8 KiB |  00m00s
[165/168] sysprof-capture-devel-0:46.0- 100% | 466.2 KiB/s |  53.6 KiB |  00m00s
[166/168] libXext-devel-0:1.3.6-1.fc40. 100% |   1.1 MiB/s |  85.8 KiB |  00m00s
[167/168] pixman-devel-0:0.43.4-1.fc41. 100% | 292.3 KiB/s |  17.2 KiB |  00m00s
[168/168] libblkid-devel-0:2.40-13.fc41 100% | 466.5 KiB/s |  26.1 KiB |  00m00s
--------------------------------------------------------------------------------
[168/168] Total                         100% |   7.2 MiB/s | 294.6 MiB |  00m41s
Running transaction
[  1/170] Verify package files          100% | 140.0   B/s | 168.0   B |  00m01s
>>> Running pre-transaction scriptlet: crypto-policies-scripts-0:20240320-1.git5
>>> Stop pre-transaction scriptlet: crypto-policies-scripts-0:20240320-1.git58e3
>>> Running pre-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> Stop pre-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> Running pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.
>>> Stop pre-transaction scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.fc4
[  2/170] Prepare transaction           100% | 581.0   B/s | 168.0   B |  00m00s
[  3/170] Installing zlib-ng-compat-dev 100% | 102.0 MiB/s | 104.5 KiB |  00m00s
[  4/170] Installing nspr-0:4.35.0-22.f 100% |  76.8 MiB/s | 314.5 KiB |  00m00s
[  5/170] Installing xorg-x11-proto-dev 100% | 127.3 MiB/s |   1.8 MiB |  00m00s
[  6/170] Installing libgfortran-0:14.0 100% | 294.3 MiB/s |   2.9 MiB |  00m00s
[  7/170] Installing nss-util-0:3.99.0- 100% | 110.9 MiB/s | 227.1 KiB |  00m00s
[  8/170] Installing libmpc-0:1.3.1-5.f 100% | 162.3 MiB/s | 166.2 KiB |  00m00s
[  9/170] Installing libquadmath-0:14.0 100% | 159.8 MiB/s | 327.2 KiB |  00m00s
[ 10/170] Installing libpng-2:1.6.40-3. 100% | 118.7 MiB/s | 243.1 KiB |  00m00s
[ 11/170] Installing fonts-filesystem-1 100% | 769.5 KiB/s | 788.0   B |  00m00s
[ 12/170] Installing tcl-1:8.6.14-1.fc4 100% | 183.4 MiB/s |   4.2 MiB |  00m00s
[ 13/170] Installing libicu-0:74.2-1.fc 100% | 301.2 MiB/s |  34.9 MiB |  00m00s
[ 14/170] Installing libicu-devel-0:74. 100% | 161.2 MiB/s |   5.6 MiB |  00m00s
[ 15/170] Installing tcl-devel-1:8.6.14 100% | 194.9 MiB/s | 798.5 KiB |  00m00s
[ 16/170] Installing libpng-devel-2:1.6 100% | 172.9 MiB/s | 885.4 KiB |  00m00s
[ 17/170] Installing libtextstyle-0:0.2 100% |  95.9 MiB/s | 196.4 KiB |  00m00s
[ 18/170] Installing gettext-libs-0:0.2 100% | 208.6 MiB/s |   1.7 MiB |  00m00s
[ 19/170] Installing openblas-0:0.3.26- 100% |  95.5 MiB/s |  97.8 KiB |  00m00s
[ 20/170] Installing xz-devel-1:5.4.6-3 100% |  84.6 MiB/s | 259.9 KiB |  00m00s
[ 21/170] Installing bzip2-devel-0:1.0. 100% | 303.5 MiB/s | 310.7 KiB |  00m00s
[ 22/170] Installing graphite2-0:1.3.14 100% |  63.2 MiB/s | 194.2 KiB |  00m00s
[ 23/170] Installing libXau-0:1.0.11-6. 100% |  66.8 MiB/s |  68.4 KiB |  00m00s
[ 24/170] Installing libxcb-0:1.17.0-1. 100% | 124.0 MiB/s |   1.1 MiB |  00m00s
[ 25/170] Installing libICE-0:1.1.1-3.f 100% |  89.2 MiB/s | 182.6 KiB |  00m00s
[ 26/170] Installing pixman-0:0.43.4-1. 100% | 231.5 MiB/s | 711.2 KiB |  00m00s
[ 27/170] Installing libRmath-0:4.4.0-1 100% | 119.0 MiB/s | 243.6 KiB |  00m00s
[ 28/170] Installing libjpeg-turbo-0:3. 100% | 252.1 MiB/s | 774.6 KiB |  00m00s
[ 29/170] Installing libRmath-devel-0:4 100% |   0.0   B/s |  17.7 KiB |  00m00s
[ 30/170] Installing pixman-devel-0:0.4 100% |  49.0 MiB/s |  50.2 KiB |  00m00s
[ 31/170] Installing libSM-0:1.2.4-3.fc 100% |  96.3 MiB/s |  98.6 KiB |  00m00s
[ 32/170] Installing libXau-devel-0:1.0 100% |   1.3 MiB/s |   8.2 KiB |  00m00s
[ 33/170] Installing libxcb-devel-0:1.1 100% |  33.0 MiB/s |   3.1 MiB |  00m00s
[ 34/170] Installing graphite2-devel-0: 100% |  49.4 MiB/s |  50.6 KiB |  00m00s
[ 35/170] Installing openblas-openmp-0: 100% | 480.3 MiB/s |  38.9 MiB |  00m00s
[ 36/170] Installing openblas-openmp64- 100% | 476.7 MiB/s |  39.1 MiB |  00m00s
[ 37/170] Installing flexiblas-netlib64 100% | 300.3 MiB/s |  10.5 MiB |  00m00s
[ 38/170] Installing flexiblas-openblas 100% |  39.2 MiB/s |  40.2 KiB |  00m00s
[ 39/170] Installing flexiblas-0:3.4.2- 100% |  47.0 MiB/s |  48.1 KiB |  00m00s
[ 40/170] Installing flexiblas-openblas 100% |  39.2 MiB/s |  40.2 KiB |  00m00s
[ 41/170] Installing flexiblas-netlib-0 100% | 315.2 MiB/s |  10.4 MiB |  00m00s
[ 42/170] Installing flexiblas-devel-0: 100% | 424.3 MiB/s |   4.7 MiB |  00m00s
[ 43/170] Installing abattis-cantarell- 100% |  94.9 MiB/s | 194.4 KiB |  00m00s
[ 44/170] Installing cpp-0:14.0.1-0.15. 100% | 320.7 MiB/s |  35.0 MiB |  00m00s
[ 45/170] Installing nss-softokn-freebl 100% | 219.4 MiB/s | 898.7 KiB |  00m00s
[ 46/170] Installing nss-softokn-0:3.99 100% | 265.8 MiB/s |   1.9 MiB |  00m00s
[ 47/170] Installing libblkid-devel-0:2 100% |  44.9 MiB/s |  46.0 KiB |  00m00s
[ 48/170] Installing sysprof-capture-de 100% | 124.8 MiB/s | 255.7 KiB |  00m00s
[ 49/170] Installing libsepol-devel-0:3 100% |  41.6 MiB/s | 127.7 KiB |  00m00s
[ 50/170] Installing libffi-devel-0:3.4 100% |  11.3 MiB/s |  34.8 KiB |  00m00s
[ 51/170] Installing kernel-headers-0:6 100% | 112.3 MiB/s |   6.4 MiB |  00m00s
[ 52/170] Installing lua-0:5.4.6-5.fc40 100% |  73.3 MiB/s | 600.8 KiB |  00m00s
[ 53/170] Installing tzdata-0:2024a-5.f 100% |  27.5 MiB/s |   1.9 MiB |  00m00s
[ 54/170] Installing python-pip-wheel-0 100% | 382.0 MiB/s |   1.5 MiB |  00m00s
[ 55/170] Installing mpdecimal-0:2.5.1- 100% | 197.3 MiB/s | 202.0 KiB |  00m00s
[ 56/170] Installing libb2-0:0.98.1-11. 100% |  42.3 MiB/s |  43.3 KiB |  00m00s
[ 57/170] Installing expat-0:2.6.2-1.fc 100% |  34.5 MiB/s | 282.9 KiB |  00m00s
[ 58/170] Installing python3-libs-0:3.1 100% | 208.8 MiB/s |  41.3 MiB |  00m00s
[ 59/170] Installing python3-0:3.12.3-2 100% |  32.5 MiB/s |  33.2 KiB |  00m00s
[ 60/170] Installing crypto-policies-sc 100% |  66.0 MiB/s | 338.1 KiB |  00m00s
[ 61/170] Installing nss-sysinit-0:3.99 100% |  18.9 MiB/s |  19.3 KiB |  00m00s
[ 62/170] Installing nss-0:3.99.0-1.fc4 100% |  86.3 MiB/s |   1.9 MiB |  00m00s
>>> Running post-install scriptlet: nss-0:3.99.0-1.fc41.x86_64
>>> Stop post-install scriptlet: nss-0:3.99.0-1.fc41.x86_64
[ 63/170] Installing python3-packaging- 100% |  85.1 MiB/s | 435.6 KiB |  00m00s
[ 64/170] Installing cmake-filesystem-0 100% |   2.3 MiB/s |   7.1 KiB |  00m00s
[ 65/170] Installing libxml2-devel-0:2. 100% | 201.0 MiB/s |   3.4 MiB |  00m00s
[ 66/170] Installing brotli-0:1.1.0-3.f 100% |  31.7 MiB/s |  32.5 KiB |  00m00s
[ 67/170] Installing brotli-devel-0:1.1 100% |  22.1 MiB/s |  68.0 KiB |  00m00s
[ 68/170] Installing glibc-headers-x86- 100% |  81.5 MiB/s |   2.3 MiB |  00m00s
[ 69/170] Installing libxcrypt-devel-0: 100% |  15.9 MiB/s |  32.6 KiB |  00m00s
[ 70/170] Installing glibc-devel-0:2.39 100% |   9.9 MiB/s |  40.4 KiB |  00m00s
[ 71/170] Installing libstdc++-devel-0: 100% | 218.9 MiB/s |  15.5 MiB |  00m00s
[ 72/170] Installing dbus-libs-1:1.14.1 100% | 180.7 MiB/s | 370.1 KiB |  00m00s
[ 73/170] Installing avahi-libs-0:0.8-2 100% |  82.5 MiB/s | 168.9 KiB |  00m00s
[ 74/170] Installing gettext-envsubst-0 100% |  74.6 MiB/s |  76.3 KiB |  00m00s
[ 75/170] Installing gettext-runtime-0: 100% |  59.9 MiB/s | 490.7 KiB |  00m00s
[ 76/170] Installing gettext-0:0.22.5-2 100% | 218.1 MiB/s |   5.2 MiB |  00m00s
[ 77/170] Installing pcre2-utf32-0:10.4 100% | 181.9 MiB/s | 558.8 KiB |  00m00s
[ 78/170] Installing pcre2-utf16-0:10.4 100% | 192.3 MiB/s | 590.9 KiB |  00m00s
[ 79/170] Installing pcre2-devel-0:10.4 100% | 153.0 MiB/s |   2.0 MiB |  00m00s
[ 80/170] Installing libselinux-devel-0 100% |  17.4 MiB/s | 160.6 KiB |  00m00s
[ 81/170] Installing libmount-devel-0:2 100% |  63.0 MiB/s |  64.5 KiB |  00m00s
[ 82/170] Installing libtirpc-devel-0:1 100% |  51.4 MiB/s | 263.0 KiB |  00m00s
[ 83/170] Installing libX11-xcb-0:1.8.9 100% |  15.5 MiB/s |  15.9 KiB |  00m00s
[ 84/170] Installing annobin-docs-0:12. 100% |  94.9 MiB/s |  97.2 KiB |  00m00s
[ 85/170] Installing libfontenc-0:1.1.8 100% |  66.8 MiB/s |  68.4 KiB |  00m00s
[ 86/170] Installing google-noto-fonts- 100% |  17.8 MiB/s |  18.3 KiB |  00m00s
[ 87/170] Installing google-noto-sans-v 100% | 249.8 MiB/s |   1.2 MiB |  00m00s
[ 88/170] Installing default-fonts-core 100% |   8.9 MiB/s |  18.2 KiB |  00m00s
[ 89/170] Installing lua-posix-0:36.2.1 100% |  75.0 MiB/s | 614.7 KiB |  00m00s
[ 90/170] Installing copy-jdk-configs-0 100% |  20.5 MiB/s |  21.0 KiB |  00m00s
[ 91/170] Installing tzdata-java-0:2024 100% |  99.7 MiB/s | 102.1 KiB |  00m00s
[ 92/170] Installing lksctp-tools-0:1.0 100% |  66.9 MiB/s | 274.0 KiB |  00m00s
[ 93/170] Installing javapackages-files 100% |   5.2 MiB/s |   5.3 KiB |  00m00s
[ 94/170] Installing alsa-lib-0:1.2.11- 100% | 138.7 MiB/s |   1.4 MiB |  00m00s
[ 95/170] Installing gc-0:8.2.2-6.fc40. 100% |  36.4 MiB/s | 261.2 KiB |  00m00s
[ 96/170] Installing guile30-0:3.0.7-12 100% | 324.4 MiB/s |  51.6 MiB |  00m00s
[ 97/170] Installing make-1:4.4.1-6.fc4 100% | 163.7 MiB/s |   1.8 MiB |  00m00s
[ 98/170] Installing gcc-0:14.0.1-0.15. 100% | 322.0 MiB/s | 104.0 MiB |  00m00s
>>> Running trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
>>> Stop trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
[ 99/170] Installing gcc-c++-0:14.0.1-0 100% | 317.6 MiB/s |  38.1 MiB |  00m00s
[100/170] Installing libquadmath-devel- 100% |  22.7 MiB/s |  23.2 KiB |  00m00s
[101/170] Installing gcc-gfortran-0:14. 100% | 317.8 MiB/s |  37.2 MiB |  00m00s
[102/170] Installing emacs-filesystem-1 100% |   0.0   B/s | 544.0   B |  00m00s
[103/170] Installing libdatrie-0:0.2.13 100% |  57.7 MiB/s |  59.0 KiB |  00m00s
[104/170] Installing libthai-0:0.1.29-8 100% | 191.7 MiB/s | 785.3 KiB |  00m00s
[105/170] Installing nettle-0:3.9.1-6.f 100% | 154.9 MiB/s | 793.3 KiB |  00m00s
[106/170] Installing gnutls-0:3.8.5-1.f 100% | 228.5 MiB/s |   3.2 MiB |  00m00s
[107/170] Installing glib2-0:2.80.0-1.f 100% | 273.1 MiB/s |  14.5 MiB |  00m00s
[108/170] Installing desktop-file-utils 100% |  74.8 MiB/s | 229.8 KiB |  00m00s
[109/170] Installing xdg-utils-0:1.2.1- 100% | 113.8 MiB/s | 349.5 KiB |  00m00s
[110/170] Installing glib2-devel-0:2.80 100% | 309.8 MiB/s |  15.5 MiB |  00m00s
[111/170] Installing cups-libs-1:2.4.7- 100% | 121.1 MiB/s | 620.3 KiB |  00m00s
[112/170] Installing java-21-openjdk-he 100% | 334.3 MiB/s | 204.9 MiB |  00m01s
>>> Running post-install scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.fc4
>>> Stop post-install scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.fc41.x
>>> Running pre-install scriptlet: xml-common-0:0.6.3-63.fc40.noarch
>>> Stop pre-install scriptlet: xml-common-0:0.6.3-63.fc40.noarch
[113/170] Installing xml-common-0:0.6.3 100% |  26.4 MiB/s |  81.1 KiB |  00m00s
[114/170] Installing tre-common-0:0.8.0 100% |  81.2 MiB/s |  83.1 KiB |  00m00s
[115/170] Installing tre-0:0.8.0-43.201 100% |  74.9 MiB/s |  76.7 KiB |  00m00s
[116/170] Installing tre-devel-0:0.8.0- 100% |  11.3 MiB/s |  11.6 KiB |  00m00s
[117/170] Installing fribidi-0:1.0.13-4 100% | 119.7 MiB/s | 367.8 KiB |  00m00s
[118/170] Installing libwebp-0:1.4.0-1. 100% | 157.6 MiB/s | 806.8 KiB |  00m00s
[119/170] Installing liblerc-0:4.0.0-6. 100% | 197.0 MiB/s | 605.0 KiB |  00m00s
[120/170] Installing jbigkit-libs-0:2.1 100% | 116.8 MiB/s | 119.6 KiB |  00m00s
[121/170] Installing libtiff-0:4.6.0-2. 100% | 159.9 MiB/s |   1.1 MiB |  00m00s
[122/170] Installing libX11-common-0:1. 100% |  65.9 MiB/s |   1.2 MiB |  00m00s
[123/170] Installing libX11-0:1.8.9-1.f 100% | 254.7 MiB/s |   1.3 MiB |  00m00s
[124/170] Installing libXext-0:1.3.6-1. 100% |  89.2 MiB/s |  91.3 KiB |  00m00s
[125/170] Installing libXrender-0:0.9.1 100% |  50.2 MiB/s |  51.4 KiB |  00m00s
[126/170] Installing cairo-0:1.18.0-3.f 100% | 216.5 MiB/s |   1.7 MiB |  00m00s
[127/170] Installing harfbuzz-0:8.4.0-1 100% | 239.4 MiB/s |   2.6 MiB |  00m00s
[128/170] Installing freetype-0:2.13.2- 100% | 164.9 MiB/s | 844.3 KiB |  00m00s
[129/170] Installing fontconfig-0:2.15. 100% | 753.6 KiB/s | 786.0 KiB |  00m01s
>>> Running post-install scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
>>> Stop post-install scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
[130/170] Installing libX11-devel-0:1.8 100% |  26.0 MiB/s |   1.1 MiB |  00m00s
[131/170] Installing libXft-0:2.3.8-6.f 100% |  10.1 MiB/s | 166.0 KiB |  00m00s
>>> Running pre-install scriptlet: tk-1:8.6.14-1.fc41.x86_64
>>> Stop pre-install scriptlet: tk-1:8.6.14-1.fc41.x86_64
[132/170] Installing tk-1:8.6.14-1.fc41 100% | 117.8 MiB/s |   3.7 MiB |  00m00s
[133/170] Installing libXrender-devel-0 100% |  49.8 MiB/s |  51.0 KiB |  00m00s
[134/170] Installing libXi-0:1.8.1-5.fc 100% |  79.9 MiB/s |  81.8 KiB |  00m00s
[135/170] Installing libXt-0:1.3.0-3.fc 100% | 139.0 MiB/s | 427.1 KiB |  00m00s
[136/170] Installing libXmu-0:1.2.1-1.f 100% |  15.4 MiB/s | 189.5 KiB |  00m00s
[137/170] Installing libXtst-0:1.2.4-6. 100% |  33.8 MiB/s |  34.7 KiB |  00m00s
[138/170] Installing pango-0:1.52.2-1.f 100% |  34.9 MiB/s |   1.0 MiB |  00m00s
[139/170] Installing R-core-0:4.4.0-1.f 100% | 120.3 MiB/s | 102.7 MiB |  00m01s
[140/170] Installing R-littler-0:0.3.19 100% |  38.3 MiB/s | 196.0 KiB |  00m00s
[141/170] Installing R-CRAN-Rcpp-0:1.0. 100% | 134.5 MiB/s |   8.5 MiB |  00m00s
[142/170] Installing R-CRAN-iterators-0 100% |  73.8 MiB/s | 453.3 KiB |  00m00s
[143/170] Installing R-rpm-macros-0:1.2 100% |   6.4 MiB/s |   6.6 KiB |  00m00s
[144/170] Installing R-java-0:4.4.0-1.f 100% |   0.0   B/s | 124.0   B |  00m00s
[145/170] Installing R-CRAN-codetools-0 100% |  27.9 MiB/s | 114.2 KiB |  00m00s
[146/170] Installing R-CRAN-lattice-0:0 100% |  83.2 MiB/s |   2.1 MiB |  00m00s
[147/170] Installing R-CRAN-Matrix-0:1. 100% |  74.4 MiB/s |   7.6 MiB |  00m00s
[148/170] Installing libXext-devel-0:1. 100% |  27.1 MiB/s | 110.9 KiB |  00m00s
[149/170] Installing mkfontscale-0:1.2. 100% |  24.7 MiB/s |  50.6 KiB |  00m00s
[150/170] Installing ttmkfdir-0:3.0.9-7 100% |  60.4 MiB/s | 123.8 KiB |  00m00s
[151/170] Installing xorg-x11-fonts-Typ 100% |  13.6 MiB/s | 865.6 KiB |  00m00s
>>> Running post-install scriptlet: xorg-x11-fonts-Type1-0:7.5-38.fc40.noarch
>>> Stop post-install scriptlet: xorg-x11-fonts-Type1-0:7.5-38.fc40.noarch
[152/170] Installing harfbuzz-icu-0:8.4 100% |   8.0 MiB/s |  16.3 KiB |  00m00s
[153/170] Installing fontconfig-devel-0 100% |  16.5 MiB/s | 151.9 KiB |  00m00s
[154/170] Installing freetype-devel-0:2 100% | 245.5 MiB/s |   7.9 MiB |  00m00s
[155/170] Installing cairo-devel-0:1.18 100% | 254.6 MiB/s |   2.3 MiB |  00m00s
[156/170] Installing harfbuzz-devel-0:8 100% | 233.6 MiB/s |   5.1 MiB |  00m00s
[157/170] Installing libXft-devel-0:2.3 100% |  10.8 MiB/s |  44.3 KiB |  00m00s
[158/170] Installing tk-devel-1:8.6.14- 100% |  84.2 MiB/s |   1.0 MiB |  00m00s
[159/170] Installing R-core-devel-0:4.4 100% |  97.8 MiB/s | 400.7 KiB |  00m00s
[160/170] Installing libXcomposite-0:0. 100% |  45.0 MiB/s |  46.1 KiB |  00m00s
[161/170] Installing java-21-openjdk-1: 100% |  50.1 MiB/s |   1.1 MiB |  00m00s
>>> Running post-install scriptlet: java-21-openjdk-1:21.0.2.0.13-3.fc41.x86_64
>>> Stop post-install scriptlet: java-21-openjdk-1:21.0.2.0.13-3.fc41.x86_64
[162/170] Installing java-21-openjdk-de 100% | 234.1 MiB/s |  11.2 MiB |  00m00s
>>> Running post-install scriptlet: java-21-openjdk-devel-1:21.0.2.0.13-3.fc41.x
>>> Stop post-install scriptlet: java-21-openjdk-devel-1:21.0.2.0.13-3.fc41.x86_
[163/170] Installing R-java-devel-0:4.4 100% |   0.0   B/s | 124.0   B |  00m00s
[164/170] Installing R-devel-0:4.4.0-1. 100% | 121.1 KiB/s | 124.0   B |  00m00s
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[168/170] Installing R-CRAN-shape-0:1.4 100% | 145.0 MiB/s | 890.8 KiB |  00m00s
[169/170] Installing annobin-plugin-gcc 100% |  36.5 MiB/s | 973.0 KiB |  00m00s
>>> Running trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
>>> Stop trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
[170/170] Installing gcc-plugin-annobin 100% |  66.9 KiB/s |  58.7 KiB |  00m01s
>>> Running trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
>>> Stop trigger-install scriptlet: redhat-rpm-config-0:288-1.fc41.noarch
>>> Running post-transaction scriptlet: crypto-policies-scripts-0:20240320-1.git
>>> Stop post-transaction scriptlet: crypto-policies-scripts-0:20240320-1.git58e
>>> Running post-transaction scriptlet: nss-0:3.99.0-1.fc41.x86_64
>>> Stop post-transaction scriptlet: nss-0:3.99.0-1.fc41.x86_64
>>> Running post-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> Stop post-transaction scriptlet: copy-jdk-configs-0:4.1-5.fc40.noarch
>>> Running post-transaction scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3
>>> Stop post-transaction scriptlet: java-21-openjdk-headless-1:21.0.2.0.13-3.fc
>>> Running post-transaction scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
>>> Stop post-transaction scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
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>>> Stop post-transaction scriptlet: java-21-openjdk-1:21.0.2.0.13-3.fc41.x86_64
>>> Running post-transaction scriptlet: java-21-openjdk-devel-1:21.0.2.0.13-3.fc
>>> Stop post-transaction scriptlet: java-21-openjdk-devel-1:21.0.2.0.13-3.fc41.
>>> Running trigger-install scriptlet: glibc-common-0:2.39.9000-16.fc41.x86_64
>>> Stop trigger-install scriptlet: glibc-common-0:2.39.9000-16.fc41.x86_64
>>> Running trigger-install scriptlet: info-0:7.1-2.fc40.x86_64
>>> Stop trigger-install scriptlet: info-0:7.1-2.fc40.x86_64
>>> Running trigger-install scriptlet: glib2-0:2.80.0-1.fc41.x86_64
>>> Stop trigger-install scriptlet: glib2-0:2.80.0-1.fc41.x86_64
>>> Running trigger-install scriptlet: glib2-0:2.80.0-1.fc41.x86_64
>>> Stop trigger-install scriptlet: glib2-0:2.80.0-1.fc41.x86_64
>>> Running trigger-install scriptlet: desktop-file-utils-0:0.26-12.fc40.x86_64
>>> Stop trigger-install scriptlet: desktop-file-utils-0:0.26-12.fc40.x86_64
>>> Running trigger-install scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
>>> Stop trigger-install scriptlet: fontconfig-0:2.15.0-4.fc40.x86_64
Warning: skipped PGP checks for 16 package(s).
Finish: build setup for R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm
Start: rpmbuild R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.QbSh52
+ umask 022
+ cd /builddir/build/BUILD
+ cd /builddir/build/BUILD
+ rm -rf glmnet
+ /usr/bin/mkdir -p glmnet
+ cd glmnet
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/glmnet_4.1-8.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ rm -rf /builddir/build/BUILD/glmnet-SPECPARTS
+ /usr/bin/mkdir -p /builddir/build/BUILD/glmnet-SPECPARTS
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';'
+ '[' -d glmnet/src ']'
+ find glmnet/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';'
+ '[' -d glmnet/src ']'
+ find glmnet/src/Makevars -type f -exec sed -i s@-g0@@g '{}' ';'
+ find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.muQGoW
+ umask 022
+ cd /builddir/build/BUILD
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd glmnet
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.eFy9RU
+ umask 022
+ cd /builddir/build/BUILD
+ '[' /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64 '!=' / ']'
+ rm -rf /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64
++ dirname /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64
+ mkdir -p /builddir/build/BUILDROOT
+ mkdir /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd glmnet
+ mkdir -p /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64/usr/local/lib/R/library
+ /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64/usr/local/lib/R/library glmnet
* installing *source* package ‘glmnet’ ...
** package ‘glmnet’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C compiler: ‘gcc (GCC) 14.0.1 20240411 (Red Hat 14.0.1-0)’
using Fortran compiler: ‘GNU Fortran (GCC) 14.0.1 20240411 (Red Hat 14.0.1-0)’
using C++ compiler: ‘g++ (GCC) 14.0.1 20240411 (Red Hat 14.0.1-0)’
using C++17
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG  -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include   -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c RcppExports.cpp -o RcppExports.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   102 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    64 |         T obj ;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |           ^~~
RcppExports.cpp:26:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    26 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type vp(vpSEXP);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    24 |                              ? PlainObjectType::ColsAtCompileTime
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    64 |         T obj ;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |           ^~~
RcppExports.cpp:26:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    26 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type vp(vpSEXP);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    64 |         T obj ;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ^~~
RcppExports.cpp:26:87:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    26 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type vp(vpSEXP);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    24 |                              ? PlainObjectType::ColsAtCompileTime
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
RcppExports.cpp:47:170:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    47 |     rcpp_result_gen = Rcpp::wrap(elnet_exp(ka, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, ulam, thr, isd, intr, maxit, pb, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
RcppExports.cpp:47:170:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    47 |     rcpp_result_gen = Rcpp::wrap(elnet_exp(ka, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, ulam, thr, isd, intr, maxit, pb, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                                                                                          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 | class SparseMapBase<Derived,ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class SparseMapBase<Derived,WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from ‘class Rcpp::ConstInputParameter<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    64 |         T obj ;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |           ^~~
RcppExports.cpp:59:98:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    59 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::SparseMatrix<double> > >::type x(xSEXP);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
gfortran  -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules   -c coxnet5dpclean.f -o coxnet5dpclean.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG  -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include   -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c elnet_exp.cpp -o elnet_exp.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from elnet_exp.cpp:2:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   102 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   555 |                         clt_slice(i, k) = cl(i,j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    24 |                              ? PlainObjectType::ColsAtCompileTime
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 |                         clt_slice(i, k) = cl(i,j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                         ~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 |                         clt_slice(i, k) = cl(i,j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   400 |         e.array() = (-g).array().exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |             p.array() = 1./(1. + ea0 * e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |             p.array() = 1./(1. + ea0 * e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |             p.array() = 1./(1. + ea0 * e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
elnet_exp.cpp:44:5:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    44 |     )
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 | class SparseMapBase<Derived,ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class SparseMapBase<Derived,WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:98:5:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |     )
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:27:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   433 |                     cl.col(j) *= xs(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~^~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   437 |             if (flmin >= 1.0) vlam = ulam / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~^~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   437 |             if (flmin >= 1.0) vlam = ulam / ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~^~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:30:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   293 |                 ww(i) = y.row(i).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~^~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:33:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |             ww.array() = w.array().max(0.0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                          ~~~~~~~^~
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |             ww.array() = w.array().max(0.0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                          ~~~~~~~~~~~~~^~~~~
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |             ww.array() = w.array().max(0.0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                          ~~~~~~~~~~~~~^~~~~
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/base.hpp:12:36:   required from ‘void glmnetpp::ElnetDriverBase::normalize_penalty(VType&&) const [with VType = Eigen::Matrix<double, -1, 1>&]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    12 |         vq.array() = vq.array().max(0.0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~^~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:402:36:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |             this->normalize_penalty(vq);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:34:   required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    16 |             auto x_j_rest = X.col(j).tail(X.rows()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   413 |             chkvars_t::eval(x, ju);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | template<typename VectorType, int Size> class VectorBlock
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:42:   required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    16 |             auto x_j_rest = X.col(j).tail(X.rows()-1);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   413 |             chkvars_t::eval(x, ju);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:36:   required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    17 |             ju[j] = (x_j_rest.array() != t).any();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   413 |             chkvars_t::eval(x, ju);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:33:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |         vec_t v = w.array().sqrt().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                   ~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:42:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |         vec_t v = w.array().sqrt().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:52:26:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 |                 x_j.array() *= v.array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:56:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    74 |                 x_j.array() = v.array() * (x_j.array() - xm(j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ~~~~~~~~~~~~~^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:41:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    74 |                 x_j.array() = v.array() * (x_j.array() - xm(j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                               ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:48:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    88 |             y.array() = v.array() * (y.array() - ym);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ~~~~~~~~~~~^~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:35:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    88 |             y.array() = v.array() * (y.array() - ym);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:430:16:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   430 |             cl /= ys;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~^~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:31:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   433 |                     cl.col(j) *= xs(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~^~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:29:   required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; GType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   338 |                 g(j) = x.col(j).dot(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   422 |                 standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:36:   required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; GType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   339 |                         (y.array() * w.array()).matrix() ) / xs(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   422 |                 standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:55:   required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; GType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   339 |                         (y.array() * w.array()).matrix() ) / xs(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   422 |                 standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:44:   required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |             ys = std::sqrt(y.array().square().matrix().dot(w));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:53:   required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |             ys = std::sqrt(y.array().square().matrix().dot(w));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:276:41:   required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   276 |                 xv(j) = x_j.cwiseProduct(x_j).dot(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~^~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   294 |                 if (ww(i)) y.row(i) /= ww(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                            ~~~~~~~~~^~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   294 |                 if (ww(i)) y.row(i) /= ww(i);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~^~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:48:   required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; IntType = bool; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   523 |                 xv(j) = x.col(j).array().square().matrix().dot(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   300 |                 standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:57:   required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; IntType = bool; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   523 |                 xv(j) = x.col(j).array().square().matrix().dot(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   300 |                 standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:399:49:   required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; YMType = Eigen::Matrix<double, -1, 1>; YSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; ValueType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   399 |                 auto ysq = y.col(j).cwiseProduct(y.col(j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   548 |             standardize_t::eval(x, y, w, isd, jsd, intr, ju, xm, xs, ym, ys, xv, ys0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:435:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   435 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     436 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     437 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     438 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50:   required from ‘bool Eigen::DenseBase<Derived>::any() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |           && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                  ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48:   required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    17 |             ju[j] = (x_j_rest.array() != t).any();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   413 |             chkvars_t::eval(x, ju);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50:   required from ‘bool Eigen::DenseBase<Derived>::any() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   108 |           && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                  ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48:   required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    17 |             ju[j] = (x_j_rest.array() != t).any();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   413 |             chkvars_t::eval(x, ju);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~^~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    53 |                 xv(j) = x_j.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; Derived = Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    29 |   internal::evaluator<Derived> thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36:   required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; GType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   338 |                 g(j) = x.col(j).dot(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~^
     339 |                         (y.array() * w.array()).matrix() ) / xs(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   422 |                 standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; Derived = Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    29 |   internal::evaluator<Derived> thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36:   required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; GType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   338 |                 g(j) = x.col(j).dot(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~^
     339 |                         (y.array() * w.array()).matrix() ) / xs(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   422 |                 standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:37:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   293 |                 ww(i) = y.row(i).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~^~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43:   required from ‘static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; GType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   125 |             if (ju[j]) g(j) = x.col(j).dot(y);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                               ~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   422 |                 standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   110 |   return numext::sqrt(squaredNorm());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             ys = y.norm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    87 |             ym = y.dot(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:343:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   149 |         return elnet_point_t(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ^~~~~~~~~~~~~~
     150 |                 ssp.thr, ssp.maxit, ssp.nx, ssp.nlp, ssp.ia, pack.g, ssp.x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     151 |                 sp.xv, ssp.vp, ssp.cl, ssp.ju);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:344:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   149 |         return elnet_point_t(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ^~~~~~~~~~~~~~
     150 |                 ssp.thr, ssp.maxit, ssp.nx, ssp.nlp, ssp.ia, pack.g, ssp.x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     151 |                 sp.xv, ssp.vp, ssp.cl, ssp.ju);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59:   required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |             ys = std::sqrt(y.array().square().matrix().dot(w));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 | class SparseMapBase<Derived,ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:96:31:   required from ‘struct glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |     Eigen::Map<const spmat_t> X_;   // data matrix (sparse)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                               ^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8:   required from ‘struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    16 | struct ElnetPointCRTPBase:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:159:16:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   159 |         return elnet_point_t(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ^~~~~~~~~~~~~~
     160 |                 ssp.thr, ssp.maxit, ssp.nx, ssp.nlp, ssp.ia,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 pack.g, pack.w, ssp.x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~
     162 |                 pack.xm, pack.xs, sp.xv, ssp.vp, ssp.cl, ssp.ju);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   151 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27:   required from ‘static void glmnetpp::details::FitPathGaussian<false, false>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   173 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
     174 |                     parm, ju, vq, cl, g, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     175 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63:   required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; IntType = bool; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   523 |                 xv(j) = x.col(j).array().square().matrix().dot(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   300 |                 standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41:   required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; IntType = bool; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   525 |                     auto mean_sq = w.dot(x.col(j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   300 |                 standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36:   required from ‘static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; IntType = bool; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   473 |                     auto vc = w.dot(x.col(j).array().square().matrix())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                               ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   303 |                 standardize_t::eval(x, ww, ju, isd, intr, xm, xs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33:   required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; YMType = Eigen::Matrix<double, -1, 1>; YSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; ValueType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   400 |                 auto z = ysq.dot(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                          ~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   548 |             standardize_t::eval(x, y, w, isd, jsd, intr, ju, xm, xs, ym, ys, xv, ys0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:435:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   435 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     436 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     437 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     438 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   414 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    53 |                 xv(j) = x_j.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:296:29:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   296 |             auto sw = ww.sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ~~~~~~^~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:176:22:   required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   176 |                 a.col(m), [&](int_t k) { return elnet_point.beta(k); } );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    71 |                 state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:34:   required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         int_t me = (a.col(m).head(nin).array() != 0.0).array().count();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~^~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 |                 state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:45:   required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |         int_t me = (a.col(m).head(nin).array() != 0.0).array().count();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 |                 state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:29:   required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   200 |         g.array() = (q.array()/(1.0-q.array())).log();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:36:   required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   200 |         g.array() = (q.array()/(1.0-q.array())).log();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:31:   required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   200 |         g.array() = (q.array()/(1.0-q.array())).log();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~^~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:52:   required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   200 |         g.array() = (q.array()/(1.0-q.array())).log();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:16:   required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   406 |         g.array() = q.array().log();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:28:   required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   406 |         g.array() = q.array().log();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:34:   required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   406 |         g.array() = q.array().log();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:27:   required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |             g.row(i).array() -= g.row(i).sum()/nc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30:   required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |             g.row(i).array() -= g.row(i).sum()/nc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    34 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30:   required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   408 |             g.row(i).array() -= g.row(i).sum()/nc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:47:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    70 |         t_.array() = this->orig_weight().array() * this->y().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:50:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    70 |         t_.array() = this->orig_weight().array() * this->y().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:82:44:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    82 |                 [&]() { this->resid() = t_ - this->weight(); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:88:40:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    88 |         f_.array() = this->intercept() + this->offset().array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:86:50:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 |                             xm_ = this->y_mean() * xb_;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                   ~~~~~~~~~~~~~~~^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:58:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |                     this->resid() = qy_ - this->weight() * (1.0-uu_);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                           ~~~~~~~~~~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:41:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |                     this->resid() = qy_ - this->weight() * (1.0-uu_);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |         base_t::process_path_fit(pack.sub_pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:86:   required from ‘auto glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::prediction() const [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   185 |     GLMNETPP_STRONG_INLINE auto prediction() const { return (t_.array() + uu_).matrix(); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_base.hpp:140:40:   required from ‘void glmnetpp::ElnetPathPoissonBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 |         pack.g = elnet_point.prediction();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   225 |         base_t::process_path_fit(pack.sub_pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |             self().process_path_fit(pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    53 |                 xv(j) = x_j.squaredNorm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    30 |             self().partial_fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    97 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      98 |                     parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      99 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:22:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    87 |         return X_.col(k).cwiseProduct(w_).dot(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 |         return std::abs(compute_grad(k));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    62 |         base_t::construct([this](index_t k) { return compute_abs_grad(k); });
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                      ^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   151 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27:   required from ‘static void glmnetpp::details::FitPathGaussian<false, false>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
     181 |                     parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:38:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    87 |         return X_.col(k).cwiseProduct(w_).dot(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~^~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    94 |         return std::abs(compute_grad(k));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    62 |         base_t::construct([this](index_t k) { return compute_abs_grad(k); });
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                      ^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   151 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27:   required from ‘static void glmnetpp::details::FitPathGaussian<false, false>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   180 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~^
     181 |                     parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                                       
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:29:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    88 |                 (y_.array() + o_).matrix()
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   151 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27:   required from ‘static void glmnetpp::details::FitPathGaussian<false, false>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   180 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~^
     181 |                     parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                                       
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:41:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    88 |                 (y_.array() + o_).matrix()
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   151 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27:   required from ‘static void glmnetpp::details::FitPathGaussian<false, false>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
     181 |                     parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:47:   required from ‘static typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::compute_xv(const XType&, const WType&) [with XType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |         return w.dot(x.array().square().matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:71:52:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 |                  [&](index_t j) { return compute_xv(X_.col(j), this->weight()); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:336:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:22:   required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase<ValueType, IndexType, BoolType>::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   400 |         e.array() = (-g).array().exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:31:   required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase<ValueType, IndexType, BoolType>::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   400 |         e.array() = (-g).array().exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:37:   required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase<ValueType, IndexType, BoolType>::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   400 |         e.array() = (-g).array().exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:35:   required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase<ValueType, IndexType, BoolType>::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   404 |             w.array() = q.array() * p.array() * (1.0 - p.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:54:   required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase<ValueType, IndexType, BoolType>::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   404 |             w.array() = q.array() * p.array() * (1.0 - p.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ~~~~~^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:47:   required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase<ValueType, IndexType, BoolType>::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   404 |             w.array() = q.array() * p.array() * (1.0 - p.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:50:   required from ‘void glmnetpp::ElnetPointInternalBinomialTwoClassBase<ValueType, IndexType, BoolType>::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; GradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   352 |             r.array() = w.array() * (y_-q_).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    70 |         this->construct(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~^
      71 |                  [&](index_t j) { return compute_xv(X_.col(j), this->weight()); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                  [&](index_t j) { return this->compute_grad(j); });
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:59:   required from ‘void glmnetpp::ElnetPointInternalBinomialTwoClassBase<ValueType, IndexType, BoolType>::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; GradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   355 |                     w.dot( (y_.array()*g_.array() +
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~        
     356 |                             (1.0-q_.array()).log()).matrix() ));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    70 |         this->construct(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~^
      71 |                  [&](index_t j) { return compute_xv(X_.col(j), this->weight()); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      72 |                  [&](index_t j) { return this->compute_grad(j); });
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack<double, int>&; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack<double, int>&; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:55:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   135 |         return w.dot(X_.col(j).array().square().matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:73:51:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, ISType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Matrix<double, -1, -1>; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; ISType = Eigen::Matrix<int, -1, 1>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    73 |                 [&](index_t j) { return compute_xv(j, this->weight()); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack<double, int>&; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1402:44:   required from ‘typename glmnetpp::SpElnetPointInternalBinomialBase<ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase<ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase<double, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1402 |         auto xj_sq = X_.col(j).cwiseProduct(X_.col(j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:76:62:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    76 |                 [&](index_t j) { return sp_base_t::compute_xv(j, this->weight()); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   177 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     178 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   177 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     178 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   177 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     178 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:68:   required from ‘typename glmnetpp::SpElnetPointInternalBinomialBase<ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase<ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, const RType&, const VType&) const [with RType = Eigen::Matrix<double, -1, 1>; VType = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase<double, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1409 |         auto gk = X_.col(k).dot((r.array() + v.array() * o_).matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:77:64:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 |                 [&](index_t j) { return sp_base_t::compute_grad(j, this->resid(), this->new_weight()); });
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   177 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     178 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:130:48:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   130 |                                 sc += d_scaled * X_.col(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ~~~~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |             state_t state = this->update_irls(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   182 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     183 |                  thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:163:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack<double, int>&; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   187 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     188 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::ElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Matrix<double, -1, -1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:136:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:64:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:139:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:63, auto:64)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:137:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>::construct<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda()>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>)::<lambda(auto:59, auto:60)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:168:65:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   168 |                 [&](index_t k) { t_ += (this->beta(k) / xs_(k)) * X_.col(k); });
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |             state_t state = this->update_irls(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:66:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |             ((t_.array()+uu_).abs().min(this->max_link())).matrix().binaryExpr(t_,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |             state_t state = this->update_irls(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:78:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   170 |             ((t_.array()+uu_).abs().min(this->max_link())).matrix().binaryExpr(t_,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     171 |                 [&](auto x, auto y) { return std::copysign(x,y+uu_); }).array().exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   181 |             state_t state = this->update_irls(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:84:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::update_irls<glmnetpp::ElnetPathBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBase::PointConfigPack<double, int>&)::<lambda(auto:68, auto:69)>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:169:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43:   required from ‘static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; GType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   125 |             if (ju[j]) g(j) = x.col(j).dot(y);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                               ~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   422 |                 standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   110 |   return numext::sqrt(squaredNorm());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             ys = y.norm();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23:   required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    87 |             ym = y.dot(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    30 |             self().partial_fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59:   required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; ValueType = double; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |             ys = std::sqrt(y.array().square().matrix().dot(w));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   427 |                 standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                           ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:  1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   151 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27:   required from ‘static void glmnetpp::details::FitPathGaussian<false, false>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   180 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^
     181 |                     parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                       
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:565:53:   required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   565 |   typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                     ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   352 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IndexBased>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    29 |   internal::evaluator<Derived> thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:46:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    87 |         return X_.col(k).cwiseProduct(w_).dot(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      88 |                 (y_.array() + o_).matrix()
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~    
      89 |                 ) / xs_(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~                             
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   151 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27:   required from ‘static void glmnetpp::details::FitPathGaussian<false, false>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   180 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
     181 |                     parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     182 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63:   required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; IntType = bool; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   523 |                 xv(j) = x.col(j).array().square().matrix().dot(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   300 |                 standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41:   required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; IntType = bool; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   525 |                     auto mean_sq = w.dot(x.col(j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                    ~~~~~^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   300 |                 standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36:   required from ‘static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; IntType = bool; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   473 |                     auto vc = w.dot(x.col(j).array().square().matrix())
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                               ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   303 |                 standardize_t::eval(x, ww, ju, isd, intr, xm, xs);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:  1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69:   required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   180 |         int_t me = (a.col(m).head(nin).array() != 0.0).array().count();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    71 |                 state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69:   required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   180 |         int_t me = (a.col(m).head(nin).array() != 0.0).array().count();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    71 |                 state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:65:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::initialize_resid(typename base_t::index_t, RType&&) [with RType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   538 |         initialize_resid(r, y_.col(ic), q_.col(ic).cwiseQuotient(sxp_));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1166:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:589:22:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:32:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:39:   required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::kazero(AZType&&) [with AZType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   660 |         mat_t e = this->offset().array().exp().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:45:   required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::kazero(AZType&&) [with AZType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   660 |         mat_t e = this->offset().array().exp().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:54:   required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::kazero(AZType&&) [with AZType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   660 |         mat_t e = this->offset().array().exp().matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   600 |             if (this->has_intercept()) kazero(b_.row(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                        ~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:661:34:   required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::kazero(AZType&&) [with AZType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   661 |         vec_t s = e.rowwise().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                   ~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   600 |             if (this->has_intercept()) kazero(b_.row(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                        ~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:65:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:47:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   603 |                 q_.col(ic).array() = b_(0,ic) + g_.col(ic).array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:48:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   604 |                 dev -= w.dot( (y_.col(ic).array() * q_.col(ic).array()).matrix() );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:51:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   604 |                 dev -= w.dot( (y_.col(ic).array() * q_.col(ic).array()).matrix() );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:79:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   604 |                 dev -= w.dot( (y_.col(ic).array() * q_.col(ic).array()).matrix() );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:605:60:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   605 |                 q_.col(ic).array() = q_.col(ic).array().exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:55:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   608 |             vec_t sxpl = (w.array() * sxp_.array().log()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:37:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   608 |             vec_t sxpl = (w.array() * sxp_.array().log()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                          ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:65:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   608 |             vec_t sxpl = (w.array() * sxp_.array().log()).matrix();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:37:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::setup_wls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1206 |                     (q.col(ic).array()*
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:44:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::setup_wls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1207 |                      (1.0-q.col(ic).array()/sxp.array())/
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                           ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:26:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::setup_wls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1207 |                      (1.0-q.col(ic).array()/sxp.array())/
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:39:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::setup_wls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1206 |                     (q.col(ic).array()*
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~^
    1207 |                      (1.0-q.col(ic).array()/sxp.array())/
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:57:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::setup_wls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1206 |                     (q.col(ic).array()*
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~                  
    1207 |                      (1.0-q.col(ic).array()/sxp.array())/
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
    1208 |                      sxp.array()).maxCoeff() );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~                        
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:47:   required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1234 |         value_t int_diff = (this->intercept() - this->old_intercept()).array().abs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:77:   required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1234 |         value_t int_diff = (this->intercept() - this->old_intercept()).array().abs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:83:   required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1234 |         value_t int_diff = (this->intercept() - this->old_intercept()).array().abs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:53:   required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1238 |                     value_t b_diff = (this->beta(k) - this->old_beta(k)).array().abs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:79:   required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1238 |                     value_t b_diff = (this->beta(k) - this->old_beta(k)).array().abs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:85:   required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1238 |                     value_t b_diff = (this->beta(k) - this->old_beta(k)).array().abs().maxCoeff();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:113:66:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(auto:43&)> [with auto:43 = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   113 |                 [&](auto& buff) { buff.array() = buff.array().exp(); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                  ~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1381:42:   required from ‘void glmnetpp::SpElnetPointInternalBinomialBase<ValueType, IndexType, BoolType>::update_with_new_weights(typename base_t::index_t, const VType&, typename base_t::index_t, typename base_t::value_t, typename base_t::value_t&) [with VType = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalStaticBase<double, int>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1381 |             xv_j = X_.col(j).cwiseProduct(X_.col(j)).dot(v);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:121:55:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   121 |                     sp_base_t::update_with_new_weights(j, v, this->optimization_type(), xmz, xv(j));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   179 |             this->setup_wls(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   177 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     178 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::initialize_resid(RType&&, const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<ScaleDerived>&) [with RType = Eigen::Matrix<double, -1, 1>&; YT = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   522 |         r = this->weight().cwiseProduct(y - v);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                         ~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack<double, int>&; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   187 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     188 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::initialize_resid(RType&&, const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<ScaleDerived>&) [with RType = Eigen::Matrix<double, -1, 1>&; YT = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   522 |         r = this->weight().cwiseProduct(y - v);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack<double, int>&; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   187 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     188 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:137:75:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(auto:50&)> [with auto:50 = Eigen::Matrix<double, -1, 1>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   137 |                 [&b0](auto& buff) { buff.array() = (buff.array() + b0).exp(); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                    ~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   187 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     188 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    29 |   internal::evaluator<Derived> thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:101:69:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>::<lambda(auto:65)> [with auto:65 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |                                 [&](auto k) { xm_(k) = X_.col(k).dot(this->weight()); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                        ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>::<lambda(auto:65)>; SkipPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool>::SpElnetPointInternal<Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, std::vector<bool>, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t&, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t&, const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, 1>&, const Eigen::Matrix<double, -1, -1>&, const std::vector<bool>&, const InternalParams&)::<lambda(bool, bool)>::<lambda(auto:66)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:100:51:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; JUType = std::vector<bool>; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 |                         base_t::for_each_with_skip(this->all_begin(), this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     101 |                                 [&](auto k) { xm_(k) = X_.col(k).dot(this->weight()); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                                 [&](auto k) { return !this->exclusion()[k]; });
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                     ^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:38:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33:   required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; YMType = Eigen::Matrix<double, -1, 1>; YSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; ValueType = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   400 |                 auto z = ysq.dot(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                          ~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   548 |             standardize_t::eval(x, y, w, isd, jsd, intr, ju, xm, xs, ym, ys, xv, ys0);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:435:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   435 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     436 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     437 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     438 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:37:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix<double, -1, 1>&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   101 |                     (y_.col(j).array() + o_(j)).matrix()) / xs_(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                      ~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   155 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23:   required from ‘static void glmnetpp::details::FitPathGaussian<false, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   318 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~^
     319 |                 parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     320 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:435:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   435 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     436 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     437 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     438 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:40:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix<double, -1, 1>&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |                     (y_.col(j).array() + o_(j)).matrix()) / xs_(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   155 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23:   required from ‘static void glmnetpp::details::FitPathGaussian<false, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   318 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     319 |                 parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     320 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:435:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   435 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     436 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     437 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     438 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:55:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix<double, -1, 1>&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |                     (y_.col(j).array() + o_(j)).matrix()) / xs_(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix<double, -1, 1>&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase<double, int, bool>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         compute_grad(k, g);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:68:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   155 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23:   required from ‘static void glmnetpp::details::FitPathGaussian<false, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   318 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     319 |                 parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     320 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:435:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   435 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     436 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     437 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     438 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    97 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      98 |                     parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      99 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::initialize_resid(RType&&, const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<ScaleDerived>&) [with RType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&; YT = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   522 |         r = this->weight().cwiseProduct(y - v);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::initialize_resid(RType&&, const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<ScaleDerived>&) [with RType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&; YT = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   522 |         r = this->weight().cwiseProduct(y - v);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:643:34:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix<double, -1, 1>&; OffsetType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; QType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>::update_irls<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>::<lambda(auto:40&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   643 |         pred_buff.array() = intr + offset.array();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:645:81:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix<double, -1, 1>&; OffsetType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; QType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>::update_irls<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>::<lambda(auto:40&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   645 |         pred_buff.array() = pred_buff.array().max(this->log_mean_pred_min()).min(this->log_mean_pred_max());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:65:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix<double, -1, 1>&; OffsetType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; QType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>::update_irls<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>::<lambda(auto:40&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   647 |         q.array() = (this->mean_min() * this->sxp().array()).max(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     648 |                         pred_buff.array().exp()).min(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~                 
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:648:53:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix<double, -1, 1>&; OffsetType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; QType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>::update_irls<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:47&)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_irls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:48&)>)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t)>::<lambda(auto:40&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   647 |         q.array() = (this->mean_min() * this->sxp().array()).max(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     648 |                         pred_buff.array().exp()).min(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     649 |                             this->mean_max() * this->sxp().array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack<double, int>&; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:49:   required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase<ValueType, IndexType, BoolType>::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1044 |                         auto cri = r2 * (a.array()-s1).abs().sum() + s1*(s1-am2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                          ~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:51:   required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase<ValueType, IndexType, BoolType>::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1044 |                         auto cri = r2 * (a.array()-s1).abs().sum() + s1*(s1-am2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~~~~~~~~~^~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:59:   required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase<ValueType, IndexType, BoolType>::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1044 |                         auto cri = r2 * (a.array()-s1).abs().sum() + s1*(s1-am2);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:84:33:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |         o_ += (xm_(k) / xs_(k)) * diff;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |               ~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:39:27:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   155 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23:   required from ‘static void glmnetpp::details::FitPathGaussian<false, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   318 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     319 |                 parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     320 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:435:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   435 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     436 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     437 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     438 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    30 |             self().partial_fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    30 |             self().partial_fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   414 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:51:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::construct() [with ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   598 |                 g_.row(i).array() -= g_.row(i).sum() / nc;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:52:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:531:48:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase<ValueType, IndexType, BoolType>::initialize_resid(RType&&, const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<ScaleDerived>&, typename base_t::value_t) [with RType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>&; YT = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   531 |         r = this->weight().cwiseProduct(y - v) / scale;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:546:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   120 | class dense_product_base
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   152 | class ProductImpl<Lhs,Rhs,Option,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:155:52:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   182 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     183 |                  thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:156:37:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, DestType&&) const [with DestType = Eigen::Matrix<double, -1, 1>&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   156 |         dest = (dest - svr_*xb_(j)) / xs_(j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:162:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   182 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     183 |                  thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30:   required from ‘glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::state_t glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::update(typename glmnetpp::details::traits<ElnetPointDerived>::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; DiffType = Eigen::Matrix<double, -1, 1>&; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits<ElnetPointDerived>::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 |         diff = this->beta(k) - diff;    // new minus old beta_k
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:55:   required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase<ValueType, IndexType, BoolType>::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   589 |         this->rsq() -= (diff.array() * (2.0 * g_curr_ - this->x_var(k) * diff).array()).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                        ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:85:   required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase<ValueType, IndexType, BoolType>::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   589 |         this->rsq() -= (diff.array() * (2.0 * g_curr_ - this->x_var(k) * diff).array()).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25:   required from ‘typename glmnetpp::ElnetPointGaussianBase<Derived>::base_t::state_t glmnetpp::ElnetPointGaussianBase<Derived>::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; DiffType = Eigen::Matrix<double, -1, 1>&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> > >; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    64 |         this->update_rsq(k, diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:38:   required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase<ValueType, IndexType, BoolType>::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   589 |         this->rsq() -= (diff.array() * (2.0 * g_curr_ - this->x_var(k) * diff).array()).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   155 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23:   required from ‘static void glmnetpp::details::FitPathGaussian<false, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   318 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     319 |                 parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     320 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multspelnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:435:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   435 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     436 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     437 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     438 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     439 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    97 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^
      98 |                     parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      99 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:88:35:   required from ‘static auto glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ValueType, IndexType, BoolType>::compute_sp_cov(const X1Type&, const X2Type&, const WType&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t) [with X1Type = Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianCovBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    88 |         auto wx2 = x2.cwiseProduct(w);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                    ~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:65:42:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ValueType, IndexType, BoolType>::update_active(typename base_t::index_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianCovBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    65 |                     return compute_sp_cov(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                            ~~~~~~~~~~~~~~^
      66 |                             X_.col(j), X_.col(k), w_, xm_(j), xm_(k), xs_(j), xs_(k) );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:81:44:   required from ‘glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::state_t glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::update(typename glmnetpp::details::traits<ElnetPointDerived>::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits<ElnetPointDerived>::internal_t::index_t = int; internal_t = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    81 |                         this->update_active(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; ULamType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   151 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27:   required from ‘static void glmnetpp::details::FitPathGaussian<false, false>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   173 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^
     174 |                     parm, ju, vq, cl, g, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     175 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spelnet_exp(int, double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                       
elnet_exp.cpp:103:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   103 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     104 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     105 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     106 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     107 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                             ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:101:57:   required from ‘void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ValueType = double; IndexType = int; BoolType = bool]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   101 |                     this->has_intercept(), r.col(ic).sum(), 1., this->weight());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                            ~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   179 |             this->setup_wls(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    30 |             self().partial_fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    30 |             self().partial_fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:45:   required from ‘void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    91 |                 (this->new_weight().array() * X_.col(k).array()).matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:72:   required from ‘void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |                 (this->new_weight().array() * X_.col(k).array()).matrix());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27:   required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> > >; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   129 |         this->update_resid(k, diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30:   required from ‘glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::state_t glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::update(typename glmnetpp::details::traits<ElnetPointDerived>::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; DiffType = Eigen::Matrix<double, -1, 1>&; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits<ElnetPointDerived>::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    86 |         diff = this->beta(k) - diff;    // new minus old beta_k
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:127:53:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:82:43:   required from ‘void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    82 |                     X_.col(k).cwiseProduct(this->weight()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   107 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23:   required from ‘static void glmnetpp::details::FitPathPoisson<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    78 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      79 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                               
elnet_exp.cpp:270:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   270 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     271 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     272 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     273 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     274 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:140:39:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   140 |                 X_.col(k).cwiseProduct(this->weight()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27:   required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> > >; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   129 |         this->update_resid(k, diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::update(typename base_t::index_t, const PointConfigPack&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   141 |         self().template update<upd>(k, pack, diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:55:   required from ‘void glmnetpp::ElnetPointInternalBaseViewer<ValueType, IndexType, BoolType>::update_dlx(const Eigen::MatrixBase<OtherDerived>&, typename base_t::value_t) [with T = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase<double, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   321 |         base_t::update_dlx(dlx_, beta_diff.array().abs().maxCoeff(), x_var);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    97 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      98 |                     parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      99 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:142:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:322:24:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:405:33:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix<double, -1, 1>&; XType = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   381 |         r -= beta_diff * x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:89:39:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   466 |       return maxCoeff<PropagateFast>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1208:43:   required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<ValueType, IndexType, BoolType>::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::setup_wls<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, glmnetpp::ElnetPointInternalStaticBase<double, int>::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:  1206 |                     (q.col(ic).array()*
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~    
    1207 |                      (1.0-q.col(ic).array()/sxp.array())/
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    1208 |                      sxp.array()).maxCoeff() );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:219:37:   required from ‘static constexpr bool glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::equal(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&) [with T1 = Eigen::Matrix<double, -1, 1>; T2 = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   219 |         return (x.array() == y.array()).all();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                              ~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:75:24:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         r -= beta_diff * x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:80:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack<double, int>&; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; XType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   381 |         r -= beta_diff * x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:91:43:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    91 |             gaussian_naive_t::update_resid(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
      92 |                     r.col(ic), d_scaled,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~   
      93 |                     X_.col(k).cwiseProduct(this->weight()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27:   required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; DiffType = Eigen::Matrix<double, -1, 1>&; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> > >; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   129 |         this->update_resid(k, diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/binomial_multi_class_group.hpp:34:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   182 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     183 |                  thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix<double, -1, 1>&; XType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   381 |         r -= beta_diff * x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |              ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:138:39:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   138 |         gaussian_naive_t::update_resid(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     139 |                 this->resid(), d_scaled,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~
     140 |                 X_.col(k).cwiseProduct(this->weight()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27:   required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> > >; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   129 |         this->update_resid(k, diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; QType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XBType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::poisson, glmnetpp::util::Mode<glmnetpp::util::glm_type::poisson>::type::naive, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   169 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23:   required from ‘static void glmnetpp::details::FitPathPoisson<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   144 |         elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     145 |              thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::poisson>::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = spfishnet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   255 |             details::FitPathPoisson<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     256 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     257 |                     nlam, flmin, ulam, xm, xs, thr, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     258 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     259 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                               
elnet_exp.cpp:326:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   326 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     327 |                 parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     328 |                 ulam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     329 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     330 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31:   required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase<ValueType, IndexType, BoolType>::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; GCurrType = Eigen::Matrix<double, -1, 1>&; GNextType = Eigen::Matrix<double, -1, 1>&; ISCType = Eigen::Matrix<int, -1, 1>&; CLType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool>::update_beta<glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   647 |         g_next = g_curr + xvk * ak;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                           ~~~~^~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25:   required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase<ValueType, IndexType, BoolType>::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; GCurrType = Eigen::Matrix<double, -1, 1>&; GNextType = Eigen::Matrix<double, -1, 1>&; ISCType = Eigen::Matrix<int, -1, 1>&; CLType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool>::update_beta<glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   647 |         g_next = g_curr + xvk * ak;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; GType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::two_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    91 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                  thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:570:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:92:   required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase<ValueType, IndexType, BoolType>::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase<double, int, bool>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   589 |         this->rsq() -= (diff.array() * (2.0 * g_curr_ - this->x_var(k) * diff).array()).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25:   required from ‘typename glmnetpp::ElnetPointGaussianBase<Derived>::base_t::state_t glmnetpp::ElnetPointGaussianBase<Derived>::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; DiffType = Eigen::Matrix<double, -1, 1>&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> > >; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    64 |         this->update_rsq(k, diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31:   required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase<ValueType, IndexType, BoolType>::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; GCurrType = Eigen::Matrix<double, -1, 1>&; GNextType = Eigen::Matrix<double, -1, 1>&; ISCType = Eigen::Matrix<double, -1, 1>&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>::update_beta<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_beta<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_beta<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:46&)>&)::<lambda(auto:38, auto:39)>; GradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_beta<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   647 |         g_next = g_curr + xvk * ak;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                           ~~~~^~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25:   required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase<ValueType, IndexType, BoolType>::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; GCurrType = Eigen::Matrix<double, -1, 1>&; GNextType = Eigen::Matrix<double, -1, 1>&; ISCType = Eigen::Matrix<double, -1, 1>&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase<double, int, bool>::update_beta<glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_beta<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_beta<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:46&)>&)::<lambda(auto:38, auto:39)>; GradFType = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool>::update_beta<glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int> >(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>&)::<lambda(glmnetpp::ElnetPointInternalStaticBase<double, int>::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase<double, int, bool>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   647 |         g_next = g_curr + xvk * ak;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   101 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     102 |                  isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   306 |   typedef typename Traits::LhsPacket LhsPacket;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   346 |     general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     348 |         actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     350 |         RhsMapper(actualRhsPtr, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
     351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     352 |         actualAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~                                                                                                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   385 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                          ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   346 |     general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     348 |         actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     350 |         RhsMapper(actualRhsPtr, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
     351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     352 |         actualAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~                                                                                                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   385 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                             ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   346 |     general_matrix_vector_product
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
     347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     348 |         actualLhs.rows(), actualLhs.cols(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
     349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
     350 |         RhsMapper(actualRhsPtr, 1),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
     351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     352 |         actualAlpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~                                                                                                                
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   385 |     internal::gemv_dense_selector<Side,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   182 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     183 |                  thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1024>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int ProductType = 7; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   216 |     internal::sparse_time_dense_product(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   182 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     183 |                  thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25:   required from ‘void glmnetpp::SpElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   171 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27:   required from ‘static void glmnetpp::details::FitPathBinomial<false>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   182 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     183 |                  thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = splognet_exp(double, Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                                
elnet_exp.cpp:214:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   214 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~^
     215 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     216 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     217 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     218 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_cov.hpp:55:65:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::cov, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   136 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27:   required from ‘static void glmnetpp::details::FitPathGaussian<is_dense, is_multi>::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; GType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Matrix<double, -1, 1>; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 |             elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^
      91 |                     parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      92 |                     lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, 1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   439 |             details::FitPathGaussian<do_dense, false>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     440 |                     ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     441 |                     nlam, flmin, vlam, thr, isd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     442 |                     lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     443 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                       
elnet_exp.cpp:49:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    49 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
      50 |                 ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      51 |                 ulam, thr, isd == 1, intr == 1, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      52 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      53 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, -1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   217 |     PanelEvaluator panel_eval(panel);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                    ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >, Eigen::internal::assign_op<double, double>, 0>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Functor = assign_op<double, double>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   785 |   dense_assignment_loop<Kernel>::run(kernel);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    98 |   return numext::real((*this).cwiseAbs2().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:703:33:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56:   required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack<double, int>; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   118 |     void fit(const PointConfigPack& pack) { self().irls(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                             ~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   466 |       return maxCoeff<PropagateFast>();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:66:   required from ‘void glmnetpp::ElnetPointInternalBaseViewer<ValueType, IndexType, BoolType>::update_dlx(const Eigen::MatrixBase<OtherDerived>&, typename base_t::value_t) [with T = Eigen::Matrix<double, -1, 1>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase<double, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   321 |         base_t::update_dlx(dlx_, beta_diff.array().abs().maxCoeff(), x_var);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack<double, int>; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    56 |                     elnet_point.fit(point_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 | template<typename MatrixType> class Transpose
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                     ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   414 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘auto glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::multi, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   108 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23:   required from ‘static void glmnetpp::details::FitPathGaussian<true, true>::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector<bool>; VQType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, 1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; VLamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   250 |         elnet_path.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~^
     251 |                 parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     252 |                 ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::gaussian>::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmoType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   562 |             details::FitPathGaussian<do_dense, true>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     563 |                     beta, ju, vq, clt, y, w, ne, nx, x,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
     564 |                     nlam, flmin, ulam, thr, maxit, xm, xs, xv,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     565 |                     ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
elnet_exp.cpp:381:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   381 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     382 |                 parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     383 |                 ulam, thr, isd, jsd, intr, maxit,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     384 |                 lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     385 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   357 | class redux_evaluator : public internal::evaluator<_XprType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   414 |   ThisEvaluator thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ^~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; ResultType = double; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    97 |     { return mat.MEMBER(); }                                                                \
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |              ~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from ‘glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack<double, int>; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56:   required from ‘void glmnetpp::ElnetPathCRTPBase<ElnetPathDerived>::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack<double, std::vector<bool>, Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, int, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    46 |             auto&& elnet_point = self().get_elnet_point(pack, path_config_pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25:   required from ‘void glmnetpp::ElnetPath<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Matrix<double, -1, 1>; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AOType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; ALMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::binomial, glmnetpp::util::Mode<glmnetpp::util::glm_type::binomial>::type::multi_class_group, double, int, bool> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   112 |         crtp_base_t::fit(pack);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27:   required from ‘static void glmnetpp::details::FitPathBinomial<is_dense>::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; WType = Eigen::Matrix<double, -1, 1>; JUType = std::vector<bool>; VPType = Eigen::Matrix<double, -1, 1>; CLType = Eigen::Matrix<double, -1, -1>; IntType = int; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Matrix<double, -1, 1>; XSType = Eigen::Matrix<double, -1, 1>; XVType = Eigen::Matrix<double, -1, 1>; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams; bool is_dense = true]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    96 |             elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      97 |                  thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53:   required from ‘void glmnetpp::ElnetDriver<glmnetpp::util::glm_type::binomial>::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix<double, -1, -1>; YType = Eigen::Matrix<double, -1, -1>; GType = Eigen::Matrix<double, -1, -1>; JDType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Matrix<double, -1, -1>; ULamType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IntType = int; LmuType = int; A0Type = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CAType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; AlmType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::MatrixXd, int, int, int, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, double, int, int, int, int, SEXP, int, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >, double, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, 1> >, int, int)::<lambda()>::<lambda(int)>; IntParamType = InternalParams]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   309 |             details::FitPathBinomial<do_dense>::eval(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     310 |                     parm, x, y, g, ww, ju, vq, cl, ne, nx,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     311 |                     nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     312 |                     lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     313 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                                
elnet_exp.cpp:158:19:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   158 |         driver.fit(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~^
     159 |                 parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     160 |                 ulam, thr, isd, intr, maxit, kopt,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     161 |                 lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     162 |                 [&](int v) {setpb_cpp(pb, v);}, ::InternalParams());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG  -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include   -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c glmnet_init.cpp -o glmnet_init.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG  -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include   -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c internal.cpp -o internal.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from internal.cpp:4:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   102 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
gcc -I"/usr/include/R" -DNDEBUG  -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c pb.c -o pb.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG  -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include   -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c pb_exp.cpp -o pb_exp.o
g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG  -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include   -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer    -c wls_exp.cpp -o wls_exp.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from wls_exp.cpp:2:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:    24 |     ResAlignment = traits<Quaternion<float> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning:       |                                              ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    27 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   266 |     Alignment = internal::traits<Coefficients>::Alignment,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 |     ResAlignment = traits<Quaternion<double> >::Alignment
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                               ^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                  ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   102 |   {
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    96 | class SparseMatrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    61 |   typedef Triplet<double> T;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                         ^~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   555 |                         clt_slice(i, k) = cl(i,j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |       ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    24 |                              ? PlainObjectType::ColsAtCompileTime
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                 ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:    32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:   555 |                         clt_slice(i, k) = cl(i,j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning:       |                         ~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 |                         clt_slice(i, k) = cl(i,j);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   178 | class Matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   400 |         e.array() = (-g).array().exp();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    45 | class Array
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   402 |         p.array() = 1./(1. + e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |             p.array() = 1./(1. + ea0 * e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |             p.array() = 1./(1. + ea0 * e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   409 |             p.array() = 1./(1. + ea0 * e.array());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                               ^~~
wls_exp.cpp:40:5:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    40 |     )
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8:   required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   796 | struct ElnetPointInternalGaussianWLSBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8:   required from ‘struct glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    10 | struct ElnetPointInternal<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~
      11 |     util::glm_type::gaussian,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
      12 |     util::mode_type<util::glm_type::gaussian>::wls,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      13 |     ValueType,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~
      14 |     IndexType,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~
      15 |     BoolType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8:   required from ‘struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    16 | struct ElnetPointCRTPBase:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8:   required from ‘struct glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:     8 | struct ElnetPointGaussianBase :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8:   required from ‘struct glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:     9 | struct ElnetPoint<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~
      10 |     util::glm_type::gaussian,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
      11 |     util::mode_type<util::glm_type::gaussian>::wls,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      12 |     ElnetPointInternalPolicy>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
wls_exp.cpp:52:17:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 |                 alm0, almc, alpha, x, r, xv, v, intr, ju, vp,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8:   required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   796 | struct ElnetPointInternalGaussianWLSBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8:   required from ‘struct glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    10 | struct ElnetPointInternal<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~
      11 |     util::glm_type::gaussian,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
      12 |     util::mode_type<util::glm_type::gaussian>::wls,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      13 |     ValueType,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~
      14 |     IndexType,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~
      15 |     BoolType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8:   required from ‘struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    16 | struct ElnetPointCRTPBase:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8:   required from ‘struct glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:     8 | struct ElnetPointGaussianBase :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8:   required from ‘struct glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:     9 | struct ElnetPoint<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~
      10 |     util::glm_type::gaussian,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
      11 |     util::mode_type<util::glm_type::gaussian>::wls,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      12 |     ElnetPointInternalPolicy>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
wls_exp.cpp:52:17:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    52 |                 alm0, almc, alpha, x, r, xv, v, intr, ju, vp,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    50 | class SparseMapBase<Derived,ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class SparseMapBase<Derived,WriteAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
wls_exp.cpp:113:5:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   113 |     )
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |     ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    36 | class SparseCompressedBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    50 | class SparseMapBase<Derived,ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:150:32:   required from ‘struct glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   150 |     Eigen::Map<const sp_mat_t> X_;      // data matrix
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                ^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8:   required from ‘struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    16 | struct ElnetPointCRTPBase:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8:   required from ‘struct glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:     8 | struct ElnetPointGaussianBase :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8:   required from ‘struct glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:     9 | struct ElnetPoint<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~
      10 |     util::glm_type::gaussian,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
      11 |     util::mode_type<util::glm_type::gaussian>::wls,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      12 |     ElnetPointInternalPolicy>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/sp_gaussian_wls.hpp:7:8:   required from ‘struct glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:     7 | struct SpElnetPoint<
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~
       8 |     util::glm_type::gaussian,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
       9 |     util::mode_type<util::glm_type::gaussian>::wls,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      10 |     ElnetPointInternalPolicy>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |     ~~~~~~~~~~~~~~~~~~~~~~~~~
wls_exp.cpp:125:17:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   125 |                 alm0, almc, alpha, x, r, xm, xs, xv, v, intr, ju, vp,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:22:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   113 |         return X_.col(k).array().square().matrix().dot(this->weight());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                ~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    74 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:31:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   113 |         return X_.col(k).array().square().matrix().dot(this->weight());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    74 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    39 | template<typename Derived> class ArrayBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    94 | class CwiseUnaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:40:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   113 |         return X_.col(k).array().square().matrix().dot(this->weight());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    74 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:49:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   113 |         return X_.col(k).array().square().matrix().dot(this->weight());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    74 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:28:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    85 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:44:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   133 |         value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    85 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                                                                ^~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                           ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:  1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   334 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IteratorBased>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    29 |   internal::evaluator<Derived> thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                ^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   133 |         value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    85 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54:   required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   407 |   typedef typename evaluator<LhsArg>::InnerIterator  LhsIterator;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                      ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   334 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IteratorBased>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    29 |   internal::evaluator<Derived> thisEval(derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59:   required from ‘typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   133 |         value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    85 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   113 |         return X_.col(k).array().square().matrix().dot(this->weight());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    74 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64:   required from ‘static auto glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::compute_grad(const RType&, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   206 |     compute_grad(const RType& r, const XType& x) { return r.dot(x); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                           ~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   118 |         return base_t::compute_grad(this->resid(), X_.col(k));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   123 |         return std::abs(compute_grad(k));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    75 |                 [&](index_t j) { return compute_abs_grad(j); });
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                         ^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:83:33:   required from ‘glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    83 |         svr_ = this->resid().sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                ~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:  1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:  1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    90 | struct evaluator : public unary_evaluator<T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   113 |         return X_.col(k).array().square().matrix().dot(this->weight());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    74 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    40 |                     this->for_each_with_skip(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
      41 |                         this->all_begin(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~   
      42 |                         this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~     
      43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      44 |                         [=](auto k) { return this->is_excluded(k); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      45 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    55 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:94:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    40 |                     this->for_each_with_skip(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
      41 |                         this->all_begin(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~   
      42 |                         this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~     
      43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      44 |                         [=](auto k) { return this->is_excluded(k); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      45 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |                    >::type Scalar;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                            ^~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52:   required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase<ValueType, IndexType, BoolType>::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer<double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   928 |         auto d = gaussian_naive_t::update_intercept(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     929 |                 a0_, this->resid(), this->convg_measure(), intr_,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     930 |                 r_sum, xmz_, v_);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~                    
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33:   required from ‘void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |         base_t::update_intercept(this->resid().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 |         this->update_intercept();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52:   required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase<ValueType, IndexType, BoolType>::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer<double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   928 |         auto d = gaussian_naive_t::update_intercept(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
     929 |                 a0_, this->resid(), this->convg_measure(), intr_,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     930 |                 r_sum, xmz_, v_);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~                    
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33:   required from ‘void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    99 |         base_t::update_intercept(this->resid().sum());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 |         this->update_intercept();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    55 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:23:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   110 |                 X_.col(k).cwiseProduct(this->weight()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    57 |         this->update_resid(k, beta_diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    40 |                     this->for_each_with_skip(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
      41 |                         this->all_begin(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~   
      42 |                         this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~     
      43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      44 |                         [=](auto k) { return this->is_excluded(k); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      45 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   128 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   110 |                 X_.col(k).cwiseProduct(this->weight()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    57 |         this->update_resid(k, beta_diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    40 |                     this->for_each_with_skip(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
      41 |                         this->all_begin(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~~~~~~~~   
      42 |                         this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~~~~~~     
      43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      44 |                         [=](auto k) { return this->is_excluded(k); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      45 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   128 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   148 | class CwiseBinaryOpImpl
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >&; XType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   381 |         r -= beta_diff * x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |              ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:92:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    40 |                     this->for_each_with_skip(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
      41 |                         this->all_begin(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~~~~~~~~   
      42 |                         this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~~~~~~     
      43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      44 |                         [=](auto k) { return this->is_excluded(k); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      45 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    55 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    77 | class CwiseBinaryOp :
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >&; XType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   381 |         r -= beta_diff * x;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |              ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:109:39:   required from ‘void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::value_t = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   109 |         gaussian_naive_t::update_resid(this->resid(), d_scaled,
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
     110 |                 X_.col(k).cwiseProduct(this->weight()));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    57 |         this->update_resid(k, beta_diff);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    40 |                     this->for_each_with_skip(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
      41 |                         this->all_begin(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~   
      42 |                         this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~     
      43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      44 |                         [=](auto k) { return this->is_excluded(k); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      45 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:   128 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:   113 |         return X_.col(k).array().square().matrix().dot(this->weight());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    74 |                 [&](index_t j) { return compute_xv(j); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   243 |     const Index alignedStart = internal::first_default_aligned(xpr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    37 |     return a.template binaryExpr<conj_prod>(b).sum();
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64:   required from ‘static auto glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::compute_grad(const RType&, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   206 |     compute_grad(const RType& r, const XType& x) { return r.dot(x); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                           ~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   118 |         return base_t::compute_grad(this->resid(), X_.col(k));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25:   required from ‘typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   123 |         return std::abs(compute_grad(k));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                         ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41:   required from ‘glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    75 |                 [&](index_t j) { return compute_abs_grad(j); });
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                         ^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    93 |     using internal_t::internal_t;
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                       ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7:   required from ‘Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    48 |             ||  ((internal::evaluator<Lhs>::Flags&RowMajorBit) == (internal::evaluator<Rhs>::Flags&RowMajorBit))),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                             ^~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49:   required from ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; RhsType = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   111 |       : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                 ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:689:62:   required from ‘const typename Eigen::SparseMatrixBase<Derived>::CwiseProductDenseReturnType<OtherDerived>::Type Eigen::SparseMatrixBase<Derived>::cwiseProduct(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename CwiseProductDenseReturnType<OtherDerived>::Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   689 |   return typename CwiseProductDenseReturnType<OtherDerived>::Type(derived(), other.derived());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    40 |                     this->for_each_with_skip(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
      41 |                         this->all_begin(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                         ~~~~~~~~~~~~~~~~~~   
      42 |                         this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                         ~~~~~~~~~~~~~~~~     
      43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      44 |                         [=](auto k) { return this->is_excluded(k); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      45 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:   128 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                         ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   100 | struct evaluator<const T>
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |        ^~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                                                              ^~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    40 |                     this->for_each_with_skip(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
      41 |                         this->all_begin(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~   
      42 |                         this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~     
      43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      44 |                         [=](auto k) { return this->is_excluded(k); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      45 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    55 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    41 | template<typename Derived> class DenseBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    48 | template<typename Derived> class MatrixBase
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                  ^~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   347 |   return derived() = Constant(rows(), cols(), val);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   548 |   return setConstant(Scalar(0));
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |          ^~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from ‘glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    38 |             update_pol(k);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from ‘std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    40 |                     this->for_each_with_skip(
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
      41 |                         this->all_begin(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~   
      42 |                         this->all_end(),
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~     
      43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      44 |                         [=](auto k) { return this->is_excluded(k); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      45 |                     );
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from ‘void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from ‘void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]’
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:    43 |             base_t::fit(PointConfigPack());
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:   128 |         elnet_point.fit(m, jerr);
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning:       |         ~~~~~~~~~~~~~~~^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o glmnet.so RcppExports.o coxnet5dpclean.o elnet_exp.o glmnet_init.o internal.o pb.o pb_exp.o wls_exp.o -lgfortran -lm -lquadmath -L/usr/lib64/R/lib -lR
installing to /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64/usr/local/lib/R/library/00LOCK-glmnet/00new/glmnet/libs
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘glmnet’
    finding HTML links ... done
    BinomialExample                         html  
    Cindex                                  html  
    CoxExample                              html  
    MultiGaussianExample                    html  
    MultinomialExample                      html  
    PoissonExample                          html  
    QuickStartExample                       html  
    SparseExample                           html  
    assess.glmnet                           html  
    beta_CVX                                html  
    bigGlm                                  html  
    cox.fit                                 html  
    cox.path                                html  
    cox_obj_function                        html  
    coxgrad                                 html  
    coxnet.deviance                         html  
    cv.glmnet                               html  
    dev_function                            html  
    deviance.glmnet                         html  
    elnet.fit                               html  
    fid                                     html  
    get_cox_lambda_max                      html  
    get_eta                                 html  
    get_start                               html  
    glmnet-internal                         html  
    glmnet-package                          html  
    glmnet                                  html  
    glmnet.control                          html  
    glmnet.fit                              html  
    glmnet.measures                         html  
    glmnet.path                             html  
    makeX                                   html  
    mycoxph                                 html  
    mycoxpred                               html  
    na.replace                              html  
    obj_function                            html  
    pen_function                            html  
    plot.cv.glmnet                          html  
    plot.glmnet                             html  
    predict.cv.glmnet                       html  
    predict.glmnet                          html  
    predict.glmnetfit                       html  
    print.cv.glmnet                         html  
    print.glmnet                            html  
    response.coxnet                         html  
    rmult                                   html  
    stratifySurv                            html  
    survfit.coxnet                          html  
    survfit.cv.glmnet                       html  
    use.cox.path                            html  
    weighted_mean_sd                        html  
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (glmnet)
+ test -d glmnet/src
+ cd glmnet/src
+ rm -f RcppExports.o coxnet5dpclean.o elnet_exp.o glmnet_init.o internal.o pb.o pb_exp.o wls_exp.o glmnet.so
+ rm -f /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64/usr/local/lib/R/library/R.css
+ find /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64@@g '{}' ';'
+ /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 4.1.8-1.fc41.copr7357949 --unique-debug-suffix -4.1.8-1.fc41.copr7357949.x86_64 --unique-debug-src-base R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/glmnet
find-debuginfo: starting
Extracting debug info from 1 files
DWARF-compressing 1 files
sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64
988 blocks
find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2
+ /usr/lib/rpm/redhat/brp-python-hardlink
Processing files: R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64
Provides: R-CRAN-glmnet = 4.1.8-1.fc41.copr7357949 R-CRAN-glmnet(x86-64) = 4.1.8-1.fc41.copr7357949
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgfortran.so.5()(64bit) libgfortran.so.5(GFORTRAN_8)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH)
Processing files: R-CRAN-glmnet-debugsource-4.1.8-1.fc41.copr7357949.x86_64
Provides: R-CRAN-glmnet-debugsource = 4.1.8-1.fc41.copr7357949 R-CRAN-glmnet-debugsource(x86-64) = 4.1.8-1.fc41.copr7357949
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: R-CRAN-glmnet-debuginfo-4.1.8-1.fc41.copr7357949.x86_64
Provides: R-CRAN-glmnet-debuginfo = 4.1.8-1.fc41.copr7357949 R-CRAN-glmnet-debuginfo(x86-64) = 4.1.8-1.fc41.copr7357949 debuginfo(build-id) = e5c64c23febbb5c050ddc53c0915bdcc4bde8bad
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: R-CRAN-glmnet-debugsource(x86-64) = 4.1.8-1.fc41.copr7357949
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64
Wrote: /builddir/build/RPMS/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-glmnet-debugsource-4.1.8-1.fc41.copr7357949.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-glmnet-debuginfo-4.1.8-1.fc41.copr7357949.x86_64.rpm
Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.lpu9cu
+ umask 022
+ cd /builddir/build/BUILD
+ cd glmnet
+ /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.x86_64
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.144SqP
+ umask 022
+ cd /builddir/build/BUILD
+ rm -rf /builddir/build/BUILD/glmnet-SPECPARTS
+ rm -rf glmnet glmnet.gemspec
+ RPM_EC=0
++ jobs -p

RPM build warnings:
+ exit 0
    source_date_epoch_from_changelog set but %changelog is missing
Finish: rpmbuild R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm
Finish: build phase for R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm
INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan
INFO: /var/lib/mock/fedora-rawhide-x86_64-1714164789.213900/root/var/log/dnf5.log
INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-glmnet-4.1.8-1.fc41.copr7357949.src.rpm) Config(child) 2 minutes 57 seconds
INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results
INFO: Cleaning up build root ('cleanup_on_success=True')
Start: clean chroot
INFO: unmounting tmpfs.
Finish: clean chroot
Finish: run
Running RPMResults tool
Package info:
{
    "packages": [
        {
            "name": "R-CRAN-glmnet-debugsource",
            "epoch": null,
            "version": "4.1.8",
            "release": "1.fc41.copr7357949",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-glmnet-debuginfo",
            "epoch": null,
            "version": "4.1.8",
            "release": "1.fc41.copr7357949",
            "arch": "x86_64"
        },
        {
            "name": "R-CRAN-glmnet",
            "epoch": null,
            "version": "4.1.8",
            "release": "1.fc41.copr7357949",
            "arch": "src"
        },
        {
            "name": "R-CRAN-glmnet",
            "epoch": null,
            "version": "4.1.8",
            "release": "1.fc41.copr7357949",
            "arch": "x86_64"
        }
    ]
}
RPMResults finished