Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c194' (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/6665363-fedora-39-x86_64 --chroot fedora-39-x86_64 Version: 0.69 PID: 11759 Logging PID: 11760 Task: {'appstream': False, 'background': True, 'bootstrap': 'off', 'build_id': 6665363, 'buildroot_pkgs': [], 'chroot': 'fedora-39-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': 'fc487567ce44ff878ec406abcf456c39d358d0a3', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-abess', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'R-CRAN-abess', 'package_version': '0.4.8-1', 'project_dirname': 'cran', 'project_name': 'cran', 'project_owner': 'iucar', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-39-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}], 'sandbox': 'iucar/cran--iucar', 'source_json': {}, 'source_type': None, 'submitter': 'iucar', 'tags': [], 'task_id': '6665363-fedora-39-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-abess /var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-abess', '/var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess'... Running: git checkout fc487567ce44ff878ec406abcf456c39d358d0a3 -- cmd: ['git', 'checkout', 'fc487567ce44ff878ec406abcf456c39d358d0a3', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess rc: 0 stdout: stderr: Note: switching to 'fc487567ce44ff878ec406abcf456c39d358d0a3'. 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 Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at fc48756 automatic import of R-CRAN-abess Running: copr-distgit-client sources cmd: ['copr-distgit-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess 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 abess_0.4.8.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o abess_0.4.8.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-abess/abess_0.4.8.tar.gz/md5/6712ac64335bbc2f99129e021b755752/abess_0.4.8.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 808k 100 808k 0 0 8100k 0 --:--:-- --:--:-- --:--:-- 8165k INFO: Reading stdout from command: md5sum abess_0.4.8.tar.gz /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess/R-CRAN-abess.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1700312509.504721 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.2 starting (python version = 3.11.3, NVR = mock-5.2-1.fc38), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess/R-CRAN-abess.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1700312509.504721 -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-nm24t15e/R-CRAN-abess/R-CRAN-abess.spec) Config(fedora-39-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.2 INFO: Mock Version: 5.2 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-1700312509.504721/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 dnf detected and used (fallback) Start: installing minimal buildroot with dnf No matches found for the following disable plugin patterns: local, spacewalk, versionlock Updating Subscription Management repositories. Unable to read consumer identity This system is not registered with an entitlement server. You can use subscription-manager to register. Copr repository 21 MB/s | 26 MB 00:01 fedora 32 MB/s | 89 MB 00:02 updates 3.1 MB/s | 14 MB 00:04 Last metadata expiration check: 0:00:06 ago on Sat Nov 18 13:02:19 2023. Dependencies resolved. ================================================================================ Package Arch Version Repo Size ================================================================================ Installing group/module packages: bash x86_64 5.2.21-1.fc39 updates 1.8 M bzip2 x86_64 1.0.8-16.fc39 fedora 52 k coreutils x86_64 9.3-4.fc39 fedora 1.1 M cpio x86_64 2.14-4.fc39 fedora 279 k diffutils x86_64 3.10-3.fc39 fedora 398 k fedora-release-common noarch 39-30 fedora 18 k findutils x86_64 1:4.9.0-5.fc39 fedora 492 k gawk x86_64 5.2.2-2.fc39 fedora 1.1 M glibc-minimal-langpack x86_64 2.38-10.fc39 updates 70 k grep x86_64 3.11-3.fc39 fedora 298 k gzip x86_64 1.12-6.fc39 fedora 166 k info x86_64 7.0.3-3.fc39 fedora 182 k patch x86_64 2.7.6-22.fc39 fedora 125 k redhat-rpm-config noarch 262-1.fc39 fedora 84 k rpm-build x86_64 4.19.0-1.fc39 fedora 78 k sed x86_64 4.8-14.fc39 fedora 306 k shadow-utils x86_64 2:4.14.0-2.fc39 updates 1.3 M tar x86_64 2:1.35-2.fc39 fedora 864 k unzip x86_64 6.0-62.fc39 fedora 184 k util-linux x86_64 2.39.2-1.fc39 fedora 1.2 M which x86_64 2.21-40.fc39 fedora 42 k xz x86_64 5.4.4-1.fc39 fedora 556 k Installing dependencies: alternatives x86_64 1.25-1.fc39 fedora 39 k ansible-srpm-macros noarch 1-11.fc39 fedora 21 k audit-libs x86_64 3.1.2-4.fc39 fedora 117 k authselect x86_64 1.4.3-1.fc39 fedora 149 k authselect-libs x86_64 1.4.3-1.fc39 fedora 249 k basesystem noarch 11-18.fc39 fedora 7.2 k binutils x86_64 2.40-13.fc39 fedora 5.6 M binutils-gold x86_64 2.40-13.fc39 fedora 797 k bzip2-libs x86_64 1.0.8-16.fc39 fedora 41 k ca-certificates noarch 2023.2.60_v7.0.306-2.fc39 fedora 837 k coreutils-common x86_64 9.3-4.fc39 fedora 2.1 M cracklib x86_64 2.9.11-2.fc39 fedora 94 k crypto-policies noarch 20231113-1.gitb402e82.fc39 updates 99 k curl x86_64 8.2.1-3.fc39 fedora 345 k cyrus-sasl-lib x86_64 2.1.28-11.fc39 fedora 793 k debugedit x86_64 5.0-10.fc39 fedora 77 k dwz x86_64 0.15-3.fc39 fedora 134 k ed x86_64 1.19-4.fc39 fedora 79 k efi-srpm-macros noarch 5-9.fc39 fedora 22 k elfutils x86_64 0.190-1.fc39 updates 550 k elfutils-debuginfod-client x86_64 0.190-1.fc39 updates 38 k elfutils-default-yama-scope noarch 0.190-1.fc39 updates 14 k elfutils-libelf x86_64 0.190-1.fc39 updates 195 k elfutils-libs x86_64 0.190-1.fc39 updates 260 k fedora-gpg-keys noarch 39-1 fedora 130 k fedora-release noarch 39-30 fedora 8.1 k fedora-release-identity-basic noarch 39-30 fedora 8.9 k fedora-repos noarch 39-1 fedora 9.3 k file x86_64 5.44-5.fc39 fedora 49 k file-libs x86_64 5.44-5.fc39 fedora 729 k filesystem x86_64 3.18-6.fc39 fedora 1.1 M fonts-srpm-macros noarch 1:2.0.5-12.fc39 fedora 26 k fpc-srpm-macros noarch 1.3-8.fc39 fedora 7.4 k gdb-minimal x86_64 13.2-10.fc39 updates 4.2 M gdbm-libs x86_64 1:1.23-4.fc39 fedora 56 k ghc-srpm-macros noarch 1.6.1-2.fc39 fedora 7.8 k glibc x86_64 2.38-10.fc39 updates 2.1 M glibc-common x86_64 2.38-10.fc39 updates 349 k glibc-gconv-extra x86_64 2.38-10.fc39 updates 1.6 M gmp x86_64 1:6.2.1-5.fc39 fedora 313 k gnat-srpm-macros noarch 6-3.fc39 fedora 8.8 k go-srpm-macros noarch 3.3.1-1.fc39 updates 28 k jansson x86_64 2.13.1-7.fc39 fedora 44 k kernel-srpm-macros noarch 1.0-20.fc39 fedora 10 k keyutils-libs x86_64 1.6.1-7.fc39 fedora 31 k krb5-libs x86_64 1.21.2-2.fc39 updates 764 k libacl x86_64 2.3.1-8.fc39 fedora 23 k libarchive x86_64 3.7.1-1.fc39 fedora 408 k libattr x86_64 2.5.1-8.fc39 fedora 18 k libblkid x86_64 2.39.2-1.fc39 fedora 116 k libbrotli x86_64 1.1.0-1.fc39 fedora 336 k libcap x86_64 2.48-7.fc39 fedora 68 k libcap-ng x86_64 0.8.3-8.fc39 fedora 32 k libcom_err x86_64 1.47.0-2.fc39 fedora 26 k libcurl x86_64 8.2.1-3.fc39 fedora 323 k libdb x86_64 5.3.28-56.fc39 fedora 760 k libeconf x86_64 0.5.2-1.fc39 fedora 30 k libevent x86_64 2.1.12-9.fc39 fedora 258 k libfdisk x86_64 2.39.2-1.fc39 fedora 162 k libffi x86_64 3.4.4-4.fc39 fedora 40 k libgcc x86_64 13.2.1-4.fc39 updates 111 k libgomp x86_64 13.2.1-4.fc39 updates 320 k libidn2 x86_64 2.3.4-3.fc39 fedora 117 k libmount x86_64 2.39.2-1.fc39 fedora 155 k libnghttp2 x86_64 1.55.1-4.fc39 updates 76 k libnsl2 x86_64 2.0.0-6.fc39 fedora 30 k libpkgconf x86_64 1.9.5-2.fc39 fedora 38 k libpsl x86_64 0.21.2-4.fc39 fedora 63 k libpwquality x86_64 1.4.5-6.fc39 fedora 120 k libselinux x86_64 3.5-5.fc39 fedora 87 k libsemanage x86_64 3.5-4.fc39 fedora 120 k libsepol x86_64 3.5-2.fc39 fedora 324 k libsigsegv x86_64 2.14-5.fc39 fedora 27 k libsmartcols x86_64 2.39.2-1.fc39 fedora 67 k libssh x86_64 0.10.5-2.fc39 fedora 211 k libssh-config noarch 0.10.5-2.fc39 fedora 9.2 k libstdc++ x86_64 13.2.1-4.fc39 updates 862 k libtasn1 x86_64 4.19.0-3.fc39 fedora 74 k libtirpc x86_64 1.3.4-0.fc39 updates 94 k libunistring x86_64 1.1-5.fc39 fedora 543 k libutempter x86_64 1.2.1-10.fc39 fedora 26 k libuuid x86_64 2.39.2-1.fc39 fedora 28 k libverto x86_64 0.3.2-6.fc39 fedora 20 k libxcrypt x86_64 4.4.36-2.fc39 fedora 119 k libxml2 x86_64 2.10.4-3.fc39 fedora 701 k libzstd x86_64 1.5.5-4.fc39 fedora 309 k lua-libs x86_64 5.4.6-3.fc39 fedora 133 k lua-srpm-macros noarch 1-9.fc39 fedora 8.6 k lz4-libs x86_64 1.9.4-4.fc39 fedora 67 k mpfr x86_64 4.2.0-3.fc39 fedora 344 k ncurses-base noarch 6.4-7.20230520.fc39 fedora 88 k ncurses-libs x86_64 6.4-7.20230520.fc39 fedora 336 k ocaml-srpm-macros noarch 8-2.fc39 fedora 14 k openblas-srpm-macros noarch 2-14.fc39 fedora 7.5 k openldap x86_64 2.6.6-1.fc39 fedora 255 k openssl-libs x86_64 1:3.1.1-4.fc39 fedora 2.2 M p11-kit x86_64 0.25.2-1.fc39 updates 520 k p11-kit-trust x86_64 0.25.2-1.fc39 updates 142 k package-notes-srpm-macros noarch 0.5-9.fc39 fedora 11 k pam x86_64 1.5.3-3.fc39 updates 542 k pam-libs x86_64 1.5.3-3.fc39 updates 56 k pcre2 x86_64 10.42-1.fc39.2 fedora 233 k pcre2-syntax noarch 10.42-1.fc39.2 fedora 143 k perl-srpm-macros noarch 1-51.fc39 fedora 8.0 k pkgconf x86_64 1.9.5-2.fc39 fedora 42 k pkgconf-m4 noarch 1.9.5-2.fc39 fedora 14 k pkgconf-pkg-config x86_64 1.9.5-2.fc39 fedora 9.6 k popt x86_64 1.19-3.fc39 fedora 66 k publicsuffix-list-dafsa noarch 20230812-1.fc39 fedora 57 k pyproject-srpm-macros noarch 1.10.0-1.fc39 updates 14 k python-srpm-macros noarch 3.12-4.fc39 fedora 25 k qt5-srpm-macros noarch 5.15.11-1.fc39 updates 8.3 k qt6-srpm-macros noarch 6.6.0-1.fc39 updates 8.6 k readline x86_64 8.2-4.fc39 fedora 213 k rpm x86_64 4.19.0-1.fc39 fedora 538 k rpm-build-libs x86_64 4.19.0-1.fc39 fedora 96 k rpm-libs x86_64 4.19.0-1.fc39 fedora 312 k rpm-sequoia x86_64 1.5.0-1.fc39 fedora 871 k rpmautospec-rpm-macros noarch 0.3.5-4.fc39 fedora 8.8 k rust-srpm-macros noarch 25.2-2.fc39 updates 13 k setup noarch 2.14.4-1.fc39 fedora 154 k sqlite-libs x86_64 3.42.0-7.fc39 fedora 678 k systemd-libs x86_64 254.5-2.fc39 fedora 689 k util-linux-core x86_64 2.39.2-1.fc39 fedora 494 k xxhash-libs x86_64 0.8.2-1.fc39 fedora 37 k xz-libs x86_64 5.4.4-1.fc39 fedora 108 k zip x86_64 3.0-39.fc39 fedora 266 k zlib x86_64 1.2.13-4.fc39 fedora 94 k zstd x86_64 1.5.5-4.fc39 fedora 482 k Installing Groups: Buildsystem building group Transaction Summary ================================================================================ Install 151 Packages Total download size: 52 M Installed size: 178 M Downloading Packages: (1/151): ansible-srpm-macros-1-11.fc39.noarch.r 62 kB/s | 21 kB 00:00 (2/151): alternatives-1.25-1.fc39.x86_64.rpm 112 kB/s | 39 kB 00:00 (3/151): audit-libs-3.1.2-4.fc39.x86_64.rpm 242 kB/s | 117 kB 00:00 (4/151): authselect-1.4.3-1.fc39.x86_64.rpm 638 kB/s | 149 kB 00:00 (5/151): authselect-libs-1.4.3-1.fc39.x86_64.rp 781 kB/s | 249 kB 00:00 (6/151): basesystem-11-18.fc39.noarch.rpm 40 kB/s | 7.2 kB 00:00 (7/151): bzip2-1.0.8-16.fc39.x86_64.rpm 212 kB/s | 52 kB 00:00 (8/151): binutils-2.40-13.fc39.x86_64.rpm 14 MB/s | 5.6 MB 00:00 (9/151): bzip2-libs-1.0.8-16.fc39.x86_64.rpm 542 kB/s | 41 kB 00:00 (10/151): binutils-gold-2.40-13.fc39.x86_64.rpm 2.4 MB/s | 797 kB 00:00 (11/151): ca-certificates-2023.2.60_v7.0.306-2. 9.6 MB/s | 837 kB 00:00 (12/151): coreutils-9.3-4.fc39.x86_64.rpm 13 MB/s | 1.1 MB 00:00 (13/151): coreutils-common-9.3-4.fc39.x86_64.rp 14 MB/s | 2.1 MB 00:00 (14/151): cpio-2.14-4.fc39.x86_64.rpm 2.8 MB/s | 279 kB 00:00 (15/151): cracklib-2.9.11-2.fc39.x86_64.rpm 1.2 MB/s | 94 kB 00:00 (16/151): curl-8.2.1-3.fc39.x86_64.rpm 4.3 MB/s | 345 kB 00:00 (17/151): cyrus-sasl-lib-2.1.28-11.fc39.x86_64. 8.9 MB/s | 793 kB 00:00 (18/151): debugedit-5.0-10.fc39.x86_64.rpm 942 kB/s | 77 kB 00:00 (19/151): diffutils-3.10-3.fc39.x86_64.rpm 4.9 MB/s | 398 kB 00:00 (20/151): dwz-0.15-3.fc39.x86_64.rpm 1.7 MB/s | 134 kB 00:00 (21/151): ed-1.19-4.fc39.x86_64.rpm 1.0 MB/s | 79 kB 00:00 (22/151): efi-srpm-macros-5-9.fc39.noarch.rpm 294 kB/s | 22 kB 00:00 (23/151): fedora-gpg-keys-39-1.noarch.rpm 1.6 MB/s | 130 kB 00:00 (24/151): fedora-release-39-30.noarch.rpm 105 kB/s | 8.1 kB 00:00 (25/151): fedora-release-common-39-30.noarch.rp 241 kB/s | 18 kB 00:00 (26/151): fedora-release-identity-basic-39-30.n 118 kB/s | 8.9 kB 00:00 (27/151): fedora-repos-39-1.noarch.rpm 123 kB/s | 9.3 kB 00:00 (28/151): file-5.44-5.fc39.x86_64.rpm 647 kB/s | 49 kB 00:00 (29/151): file-libs-5.44-5.fc39.x86_64.rpm 8.3 MB/s | 729 kB 00:00 (30/151): filesystem-3.18-6.fc39.x86_64.rpm 11 MB/s | 1.1 MB 00:00 (31/151): findutils-4.9.0-5.fc39.x86_64.rpm 5.8 MB/s | 492 kB 00:00 (32/151): fonts-srpm-macros-2.0.5-12.fc39.noarc 350 kB/s | 26 kB 00:00 (33/151): fpc-srpm-macros-1.3-8.fc39.noarch.rpm 98 kB/s | 7.4 kB 00:00 (34/151): gawk-5.2.2-2.fc39.x86_64.rpm 12 MB/s | 1.1 MB 00:00 (35/151): gdbm-libs-1.23-4.fc39.x86_64.rpm 715 kB/s | 56 kB 00:00 (36/151): ghc-srpm-macros-1.6.1-2.fc39.noarch.r 103 kB/s | 7.8 kB 00:00 (37/151): gmp-6.2.1-5.fc39.x86_64.rpm 3.9 MB/s | 313 kB 00:00 (38/151): gnat-srpm-macros-6-3.fc39.noarch.rpm 112 kB/s | 8.8 kB 00:00 (39/151): grep-3.11-3.fc39.x86_64.rpm 3.7 MB/s | 298 kB 00:00 (40/151): gzip-1.12-6.fc39.x86_64.rpm 2.1 MB/s | 166 kB 00:00 (41/151): info-7.0.3-3.fc39.x86_64.rpm 2.3 MB/s | 182 kB 00:00 (42/151): jansson-2.13.1-7.fc39.x86_64.rpm 582 kB/s | 44 kB 00:00 (43/151): kernel-srpm-macros-1.0-20.fc39.noarch 139 kB/s | 10 kB 00:00 (44/151): keyutils-libs-1.6.1-7.fc39.x86_64.rpm 411 kB/s | 31 kB 00:00 (45/151): libacl-2.3.1-8.fc39.x86_64.rpm 305 kB/s | 23 kB 00:00 (46/151): libarchive-3.7.1-1.fc39.x86_64.rpm 5.0 MB/s | 408 kB 00:00 (47/151): libattr-2.5.1-8.fc39.x86_64.rpm 227 kB/s | 18 kB 00:00 (48/151): libblkid-2.39.2-1.fc39.x86_64.rpm 1.5 MB/s | 116 kB 00:00 (49/151): libbrotli-1.1.0-1.fc39.x86_64.rpm 4.2 MB/s | 336 kB 00:00 (50/151): libcap-2.48-7.fc39.x86_64.rpm 855 kB/s | 68 kB 00:00 (51/151): libcap-ng-0.8.3-8.fc39.x86_64.rpm 425 kB/s | 32 kB 00:00 (52/151): libcom_err-1.47.0-2.fc39.x86_64.rpm 344 kB/s | 26 kB 00:00 (53/151): libcurl-8.2.1-3.fc39.x86_64.rpm 4.0 MB/s | 323 kB 00:00 (54/151): libdb-5.3.28-56.fc39.x86_64.rpm 8.6 MB/s | 760 kB 00:00 (55/151): libeconf-0.5.2-1.fc39.x86_64.rpm 400 kB/s | 30 kB 00:00 (56/151): libevent-2.1.12-9.fc39.x86_64.rpm 3.2 MB/s | 258 kB 00:00 (57/151): libfdisk-2.39.2-1.fc39.x86_64.rpm 2.0 MB/s | 162 kB 00:00 (58/151): libffi-3.4.4-4.fc39.x86_64.rpm 523 kB/s | 40 kB 00:00 (59/151): libidn2-2.3.4-3.fc39.x86_64.rpm 1.5 MB/s | 117 kB 00:00 (60/151): libmount-2.39.2-1.fc39.x86_64.rpm 2.0 MB/s | 155 kB 00:00 (61/151): libnsl2-2.0.0-6.fc39.x86_64.rpm 392 kB/s | 30 kB 00:00 (62/151): libpkgconf-1.9.5-2.fc39.x86_64.rpm 497 kB/s | 38 kB 00:00 (63/151): libpsl-0.21.2-4.fc39.x86_64.rpm 821 kB/s | 63 kB 00:00 (64/151): libpwquality-1.4.5-6.fc39.x86_64.rpm 1.5 MB/s | 120 kB 00:00 (65/151): libselinux-3.5-5.fc39.x86_64.rpm 1.1 MB/s | 87 kB 00:00 (66/151): libsemanage-3.5-4.fc39.x86_64.rpm 1.5 MB/s | 120 kB 00:00 (67/151): libsepol-3.5-2.fc39.x86_64.rpm 3.9 MB/s | 324 kB 00:00 (68/151): libsigsegv-2.14-5.fc39.x86_64.rpm 354 kB/s | 27 kB 00:00 (69/151): libsmartcols-2.39.2-1.fc39.x86_64.rpm 881 kB/s | 67 kB 00:00 (70/151): libssh-0.10.5-2.fc39.x86_64.rpm 2.7 MB/s | 211 kB 00:00 (71/151): libssh-config-0.10.5-2.fc39.noarch.rp 120 kB/s | 9.2 kB 00:00 (72/151): libtasn1-4.19.0-3.fc39.x86_64.rpm 973 kB/s | 74 kB 00:00 (73/151): libunistring-1.1-5.fc39.x86_64.rpm 6.6 MB/s | 543 kB 00:00 (74/151): libutempter-1.2.1-10.fc39.x86_64.rpm 325 kB/s | 26 kB 00:00 (75/151): libuuid-2.39.2-1.fc39.x86_64.rpm 370 kB/s | 28 kB 00:00 (76/151): libverto-0.3.2-6.fc39.x86_64.rpm 270 kB/s | 20 kB 00:00 (77/151): libxcrypt-4.4.36-2.fc39.x86_64.rpm 1.5 MB/s | 119 kB 00:00 (78/151): libxml2-2.10.4-3.fc39.x86_64.rpm 8.1 MB/s | 701 kB 00:00 (79/151): libzstd-1.5.5-4.fc39.x86_64.rpm 3.8 MB/s | 309 kB 00:00 (80/151): lua-libs-5.4.6-3.fc39.x86_64.rpm 1.6 MB/s | 133 kB 00:00 (81/151): lua-srpm-macros-1-9.fc39.noarch.rpm 114 kB/s | 8.6 kB 00:00 (82/151): lz4-libs-1.9.4-4.fc39.x86_64.rpm 876 kB/s | 67 kB 00:00 (83/151): mpfr-4.2.0-3.fc39.x86_64.rpm 4.2 MB/s | 344 kB 00:00 (84/151): ncurses-base-6.4-7.20230520.fc39.noar 1.1 MB/s | 88 kB 00:00 (85/151): ncurses-libs-6.4-7.20230520.fc39.x86_ 4.1 MB/s | 336 kB 00:00 (86/151): ocaml-srpm-macros-8-2.fc39.noarch.rpm 179 kB/s | 14 kB 00:00 (87/151): openblas-srpm-macros-2-14.fc39.noarch 100 kB/s | 7.5 kB 00:00 (88/151): openldap-2.6.6-1.fc39.x86_64.rpm 3.2 MB/s | 255 kB 00:00 (89/151): openssl-libs-3.1.1-4.fc39.x86_64.rpm 21 MB/s | 2.2 MB 00:00 (90/151): package-notes-srpm-macros-0.5-9.fc39. 114 kB/s | 11 kB 00:00 (91/151): patch-2.7.6-22.fc39.x86_64.rpm 1.6 MB/s | 125 kB 00:00 (92/151): pcre2-10.42-1.fc39.2.x86_64.rpm 2.9 MB/s | 233 kB 00:00 (93/151): pcre2-syntax-10.42-1.fc39.2.noarch.rp 1.8 MB/s | 143 kB 00:00 (94/151): perl-srpm-macros-1-51.fc39.noarch.rpm 106 kB/s | 8.0 kB 00:00 (95/151): pkgconf-1.9.5-2.fc39.x86_64.rpm 560 kB/s | 42 kB 00:00 (96/151): pkgconf-m4-1.9.5-2.fc39.noarch.rpm 184 kB/s | 14 kB 00:00 (97/151): pkgconf-pkg-config-1.9.5-2.fc39.x86_6 127 kB/s | 9.6 kB 00:00 (98/151): popt-1.19-3.fc39.x86_64.rpm 873 kB/s | 66 kB 00:00 (99/151): publicsuffix-list-dafsa-20230812-1.fc 755 kB/s | 57 kB 00:00 (100/151): python-srpm-macros-3.12-4.fc39.noarc 330 kB/s | 25 kB 00:00 (101/151): readline-8.2-4.fc39.x86_64.rpm 2.6 MB/s | 213 kB 00:00 (102/151): redhat-rpm-config-262-1.fc39.noarch. 1.0 MB/s | 84 kB 00:00 (103/151): rpm-build-4.19.0-1.fc39.x86_64.rpm 173 kB/s | 78 kB 00:00 (104/151): rpm-build-libs-4.19.0-1.fc39.x86_64. 212 kB/s | 96 kB 00:00 (105/151): rpm-4.19.0-1.fc39.x86_64.rpm 1.0 MB/s | 538 kB 00:00 (106/151): rpm-libs-4.19.0-1.fc39.x86_64.rpm 1.7 MB/s | 312 kB 00:00 (107/151): rpm-sequoia-1.5.0-1.fc39.x86_64.rpm 2.9 MB/s | 871 kB 00:00 (108/151): rpmautospec-rpm-macros-0.3.5-4.fc39. 34 kB/s | 8.8 kB 00:00 (109/151): sed-4.8-14.fc39.x86_64.rpm 2.7 MB/s | 306 kB 00:00 (110/151): setup-2.14.4-1.fc39.noarch.rpm 1.8 MB/s | 154 kB 00:00 (111/151): sqlite-libs-3.42.0-7.fc39.x86_64.rpm 5.8 MB/s | 678 kB 00:00 (112/151): systemd-libs-254.5-2.fc39.x86_64.rpm 3.7 MB/s | 689 kB 00:00 (113/151): tar-1.35-2.fc39.x86_64.rpm 6.1 MB/s | 864 kB 00:00 (114/151): unzip-6.0-62.fc39.x86_64.rpm 1.6 MB/s | 184 kB 00:00 (115/151): util-linux-2.39.2-1.fc39.x86_64.rpm 11 MB/s | 1.2 MB 00:00 (116/151): util-linux-core-2.39.2-1.fc39.x86_64 5.5 MB/s | 494 kB 00:00 (117/151): which-2.21-40.fc39.x86_64.rpm 512 kB/s | 42 kB 00:00 (118/151): xxhash-libs-0.8.2-1.fc39.x86_64.rpm 492 kB/s | 37 kB 00:00 (119/151): xz-5.4.4-1.fc39.x86_64.rpm 6.4 MB/s | 556 kB 00:00 (120/151): xz-libs-5.4.4-1.fc39.x86_64.rpm 1.2 MB/s | 108 kB 00:00 (121/151): zip-3.0-39.fc39.x86_64.rpm 3.2 MB/s | 266 kB 00:00 (122/151): zlib-1.2.13-4.fc39.x86_64.rpm 1.2 MB/s | 94 kB 00:00 (123/151): zstd-1.5.5-4.fc39.x86_64.rpm 5.6 MB/s | 482 kB 00:00 (124/151): crypto-policies-20231113-1.gitb402e8 222 kB/s | 99 kB 00:00 (125/151): elfutils-debuginfod-client-0.190-1.f 513 kB/s | 38 kB 00:00 (126/151): elfutils-default-yama-scope-0.190-1. 13 kB/s | 14 kB 00:01 (127/151): elfutils-0.190-1.fc39.x86_64.rpm 344 kB/s | 550 kB 00:01 (128/151): elfutils-libs-0.190-1.fc39.x86_64.rp 374 kB/s | 260 kB 00:00 (129/151): elfutils-libelf-0.190-1.fc39.x86_64. 116 kB/s | 195 kB 00:01 (130/151): bash-5.2.21-1.fc39.x86_64.rpm 211 kB/s | 1.8 MB 00:08 (131/151): glibc-2.38-10.fc39.x86_64.rpm 316 kB/s | 2.1 MB 00:06 (132/151): glibc-common-2.38-10.fc39.x86_64.rpm 186 kB/s | 349 kB 00:01 (133/151): glibc-minimal-langpack-2.38-10.fc39. 227 kB/s | 70 kB 00:00 (134/151): go-srpm-macros-3.3.1-1.fc39.noarch.r 42 kB/s | 28 kB 00:00 (135/151): gdb-minimal-13.2-10.fc39.x86_64.rpm 446 kB/s | 4.2 MB 00:09 (136/151): libgcc-13.2.1-4.fc39.x86_64.rpm 284 kB/s | 111 kB 00:00 (137/151): libgomp-13.2.1-4.fc39.x86_64.rpm 190 kB/s | 320 kB 00:01 (138/151): libnghttp2-1.55.1-4.fc39.x86_64.rpm 248 kB/s | 76 kB 00:00 (139/151): krb5-libs-1.21.2-2.fc39.x86_64.rpm 112 kB/s | 764 kB 00:06 (140/151): libtirpc-1.3.4-0.fc39.x86_64.rpm 316 kB/s | 94 kB 00:00 (141/151): glibc-gconv-extra-2.38-10.fc39.x86_6 175 kB/s | 1.6 MB 00:09 (142/151): libstdc++-13.2.1-4.fc39.x86_64.rpm 164 kB/s | 862 kB 00:05 (143/151): p11-kit-trust-0.25.2-1.fc39.x86_64.r 470 kB/s | 142 kB 00:00 (144/151): p11-kit-0.25.2-1.fc39.x86_64.rpm 432 kB/s | 520 kB 00:01 (145/151): pam-libs-1.5.3-3.fc39.x86_64.rpm 373 kB/s | 56 kB 00:00 (146/151): pyproject-srpm-macros-1.10.0-1.fc39. 176 kB/s | 14 kB 00:00 (147/151): qt5-srpm-macros-5.15.11-1.fc39.noarc 111 kB/s | 8.3 kB 00:00 (148/151): qt6-srpm-macros-6.6.0-1.fc39.noarch. 107 kB/s | 8.6 kB 00:00 (149/151): rust-srpm-macros-25.2-2.fc39.noarch. 167 kB/s | 13 kB 00:00 (150/151): pam-1.5.3-3.fc39.x86_64.rpm 445 kB/s | 542 kB 00:01 (151/151): shadow-utils-4.14.0-2.fc39.x86_64.rp 607 kB/s | 1.3 MB 00:02 -------------------------------------------------------------------------------- Total 1.9 MB/s | 52 MB 00:26 fedora 1.6 MB/s | 1.6 kB 00:00 Importing GPG key 0x18B8E74C: Userid : "Fedora (39) " Fingerprint: E8F2 3996 F232 1864 0CB4 4CBE 75CF 5AC4 18B8 E74C From : /usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-39-primary Key imported successfully Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. Running transaction Running scriptlet: filesystem-3.18-6.fc39.x86_64 1/1 Preparing : 1/1 Installing : libgcc-13.2.1-4.fc39.x86_64 1/151 Running scriptlet: libgcc-13.2.1-4.fc39.x86_64 1/151 Installing : crypto-policies-20231113-1.gitb402e82.fc39.noarc 2/151 Running scriptlet: crypto-policies-20231113-1.gitb402e82.fc39.noarc 2/151 Installing : fedora-release-identity-basic-39-30.noarch 3/151 Installing : fedora-gpg-keys-39-1.noarch 4/151 Installing : fedora-repos-39-1.noarch 5/151 Installing : fedora-release-common-39-30.noarch 6/151 Installing : fedora-release-39-30.noarch 7/151 Installing : setup-2.14.4-1.fc39.noarch 8/151 warning: /etc/hosts created as /etc/hosts.rpmnew Running scriptlet: setup-2.14.4-1.fc39.noarch 8/151 Installing : filesystem-3.18-6.fc39.x86_64 9/151 Installing : basesystem-11-18.fc39.noarch 10/151 Installing : rust-srpm-macros-25.2-2.fc39.noarch 11/151 Installing : qt6-srpm-macros-6.6.0-1.fc39.noarch 12/151 Installing : qt5-srpm-macros-5.15.11-1.fc39.noarch 13/151 Installing : publicsuffix-list-dafsa-20230812-1.fc39.noarch 14/151 Installing : pkgconf-m4-1.9.5-2.fc39.noarch 15/151 Installing : perl-srpm-macros-1-51.fc39.noarch 16/151 Installing : pcre2-syntax-10.42-1.fc39.2.noarch 17/151 Installing : package-notes-srpm-macros-0.5-9.fc39.noarch 18/151 Installing : openblas-srpm-macros-2-14.fc39.noarch 19/151 Installing : ocaml-srpm-macros-8-2.fc39.noarch 20/151 Installing : ncurses-base-6.4-7.20230520.fc39.noarch 21/151 Installing : ncurses-libs-6.4-7.20230520.fc39.x86_64 22/151 Installing : bash-5.2.21-1.fc39.x86_64 23/151 Running scriptlet: bash-5.2.21-1.fc39.x86_64 23/151 Installing : glibc-common-2.38-10.fc39.x86_64 24/151 Installing : glibc-gconv-extra-2.38-10.fc39.x86_64 25/151 Running scriptlet: glibc-gconv-extra-2.38-10.fc39.x86_64 25/151 Installing : glibc-minimal-langpack-2.38-10.fc39.x86_64 26/151 Running scriptlet: glibc-2.38-10.fc39.x86_64 27/151 Installing : glibc-2.38-10.fc39.x86_64 27/151 Running scriptlet: glibc-2.38-10.fc39.x86_64 27/151 Installing : zlib-1.2.13-4.fc39.x86_64 28/151 Installing : xz-libs-5.4.4-1.fc39.x86_64 29/151 Installing : bzip2-libs-1.0.8-16.fc39.x86_64 30/151 Installing : libuuid-2.39.2-1.fc39.x86_64 31/151 Installing : libzstd-1.5.5-4.fc39.x86_64 32/151 Installing : elfutils-libelf-0.190-1.fc39.x86_64 33/151 Installing : popt-1.19-3.fc39.x86_64 34/151 Installing : libstdc++-13.2.1-4.fc39.x86_64 35/151 Installing : libblkid-2.39.2-1.fc39.x86_64 36/151 Installing : gmp-1:6.2.1-5.fc39.x86_64 37/151 Installing : libattr-2.5.1-8.fc39.x86_64 38/151 Installing : libacl-2.3.1-8.fc39.x86_64 39/151 Installing : libcap-2.48-7.fc39.x86_64 40/151 Installing : libxcrypt-4.4.36-2.fc39.x86_64 41/151 Installing : readline-8.2-4.fc39.x86_64 42/151 Installing : libeconf-0.5.2-1.fc39.x86_64 43/151 Installing : lz4-libs-1.9.4-4.fc39.x86_64 44/151 Installing : systemd-libs-254.5-2.fc39.x86_64 45/151 Installing : mpfr-4.2.0-3.fc39.x86_64 46/151 Installing : dwz-0.15-3.fc39.x86_64 47/151 Installing : unzip-6.0-62.fc39.x86_64 48/151 Installing : file-libs-5.44-5.fc39.x86_64 49/151 Installing : file-5.44-5.fc39.x86_64 50/151 Installing : alternatives-1.25-1.fc39.x86_64 51/151 Installing : jansson-2.13.1-7.fc39.x86_64 52/151 Installing : libcap-ng-0.8.3-8.fc39.x86_64 53/151 Installing : audit-libs-3.1.2-4.fc39.x86_64 54/151 Installing : pam-libs-1.5.3-3.fc39.x86_64 55/151 Installing : libcom_err-1.47.0-2.fc39.x86_64 56/151 Installing : libsepol-3.5-2.fc39.x86_64 57/151 Installing : libsmartcols-2.39.2-1.fc39.x86_64 58/151 Installing : libtasn1-4.19.0-3.fc39.x86_64 59/151 Installing : libunistring-1.1-5.fc39.x86_64 60/151 Installing : libidn2-2.3.4-3.fc39.x86_64 61/151 Installing : lua-libs-5.4.6-3.fc39.x86_64 62/151 Installing : pcre2-10.42-1.fc39.2.x86_64 63/151 Installing : libselinux-3.5-5.fc39.x86_64 64/151 Installing : sed-4.8-14.fc39.x86_64 65/151 Installing : grep-3.11-3.fc39.x86_64 66/151 Installing : findutils-1:4.9.0-5.fc39.x86_64 67/151 Installing : xz-5.4.4-1.fc39.x86_64 68/151 Installing : libmount-2.39.2-1.fc39.x86_64 69/151 Installing : util-linux-core-2.39.2-1.fc39.x86_64 70/151 Installing : libsemanage-3.5-4.fc39.x86_64 71/151 Installing : shadow-utils-2:4.14.0-2.fc39.x86_64 72/151 Running scriptlet: libutempter-1.2.1-10.fc39.x86_64 73/151 Installing : libutempter-1.2.1-10.fc39.x86_64 73/151 Installing : tar-2:1.35-2.fc39.x86_64 74/151 Installing : libpsl-0.21.2-4.fc39.x86_64 75/151 Installing : zip-3.0-39.fc39.x86_64 76/151 Installing : zstd-1.5.5-4.fc39.x86_64 77/151 Installing : libfdisk-2.39.2-1.fc39.x86_64 78/151 Installing : bzip2-1.0.8-16.fc39.x86_64 79/151 Installing : libxml2-2.10.4-3.fc39.x86_64 80/151 Installing : sqlite-libs-3.42.0-7.fc39.x86_64 81/151 Installing : cpio-2.14-4.fc39.x86_64 82/151 Installing : diffutils-3.10-3.fc39.x86_64 83/151 Installing : ed-1.19-4.fc39.x86_64 84/151 Installing : patch-2.7.6-22.fc39.x86_64 85/151 Installing : gdbm-libs-1:1.23-4.fc39.x86_64 86/151 Installing : cyrus-sasl-lib-2.1.28-11.fc39.x86_64 87/151 Installing : keyutils-libs-1.6.1-7.fc39.x86_64 88/151 Installing : libbrotli-1.1.0-1.fc39.x86_64 89/151 Installing : libdb-5.3.28-56.fc39.x86_64 90/151 Installing : libffi-3.4.4-4.fc39.x86_64 91/151 Installing : p11-kit-0.25.2-1.fc39.x86_64 92/151 Installing : p11-kit-trust-0.25.2-1.fc39.x86_64 93/151 Running scriptlet: p11-kit-trust-0.25.2-1.fc39.x86_64 93/151 Installing : libpkgconf-1.9.5-2.fc39.x86_64 94/151 Installing : pkgconf-1.9.5-2.fc39.x86_64 95/151 Installing : pkgconf-pkg-config-1.9.5-2.fc39.x86_64 96/151 Installing : libsigsegv-2.14-5.fc39.x86_64 97/151 Installing : gawk-5.2.2-2.fc39.x86_64 98/151 Installing : libverto-0.3.2-6.fc39.x86_64 99/151 Installing : xxhash-libs-0.8.2-1.fc39.x86_64 100/151 Installing : libgomp-13.2.1-4.fc39.x86_64 101/151 Installing : libnghttp2-1.55.1-4.fc39.x86_64 102/151 Installing : elfutils-default-yama-scope-0.190-1.fc39.noarch 103/151 Running scriptlet: elfutils-default-yama-scope-0.190-1.fc39.noarch 103/151 Installing : libssh-config-0.10.5-2.fc39.noarch 104/151 Installing : kernel-srpm-macros-1.0-20.fc39.noarch 105/151 Installing : gnat-srpm-macros-6-3.fc39.noarch 106/151 Installing : ghc-srpm-macros-1.6.1-2.fc39.noarch 107/151 Installing : fpc-srpm-macros-1.3-8.fc39.noarch 108/151 Installing : coreutils-common-9.3-4.fc39.x86_64 109/151 Installing : openssl-libs-1:3.1.1-4.fc39.x86_64 110/151 Installing : coreutils-9.3-4.fc39.x86_64 111/151 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 112/151 Installing : ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 112/151 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 112/151 Installing : krb5-libs-1.21.2-2.fc39.x86_64 113/151 Installing : libtirpc-1.3.4-0.fc39.x86_64 114/151 Running scriptlet: authselect-libs-1.4.3-1.fc39.x86_64 115/151 Installing : authselect-libs-1.4.3-1.fc39.x86_64 115/151 Installing : gzip-1.12-6.fc39.x86_64 116/151 Installing : cracklib-2.9.11-2.fc39.x86_64 117/151 Installing : libpwquality-1.4.5-6.fc39.x86_64 118/151 Installing : authselect-1.4.3-1.fc39.x86_64 119/151 Installing : libnsl2-2.0.0-6.fc39.x86_64 120/151 Installing : pam-1.5.3-3.fc39.x86_64 121/151 Installing : libssh-0.10.5-2.fc39.x86_64 122/151 Installing : libarchive-3.7.1-1.fc39.x86_64 123/151 Installing : libevent-2.1.12-9.fc39.x86_64 124/151 Installing : openldap-2.6.6-1.fc39.x86_64 125/151 Installing : libcurl-8.2.1-3.fc39.x86_64 126/151 Installing : elfutils-libs-0.190-1.fc39.x86_64 127/151 Installing : elfutils-debuginfod-client-0.190-1.fc39.x86_64 128/151 Installing : binutils-gold-2.40-13.fc39.x86_64 129/151 Running scriptlet: binutils-gold-2.40-13.fc39.x86_64 129/151 Installing : binutils-2.40-13.fc39.x86_64 130/151 Running scriptlet: binutils-2.40-13.fc39.x86_64 130/151 Installing : elfutils-0.190-1.fc39.x86_64 131/151 Installing : gdb-minimal-13.2-10.fc39.x86_64 132/151 Installing : debugedit-5.0-10.fc39.x86_64 133/151 Installing : curl-8.2.1-3.fc39.x86_64 134/151 Installing : rpm-sequoia-1.5.0-1.fc39.x86_64 135/151 Installing : rpm-libs-4.19.0-1.fc39.x86_64 136/151 Running scriptlet: rpm-4.19.0-1.fc39.x86_64 137/151 Installing : rpm-4.19.0-1.fc39.x86_64 137/151 Installing : efi-srpm-macros-5-9.fc39.noarch 138/151 Installing : lua-srpm-macros-1-9.fc39.noarch 139/151 Installing : rpmautospec-rpm-macros-0.3.5-4.fc39.noarch 140/151 Installing : rpm-build-libs-4.19.0-1.fc39.x86_64 141/151 Installing : ansible-srpm-macros-1-11.fc39.noarch 142/151 Installing : fonts-srpm-macros-1:2.0.5-12.fc39.noarch 143/151 Installing : python-srpm-macros-3.12-4.fc39.noarch 144/151 Installing : go-srpm-macros-3.3.1-1.fc39.noarch 145/151 Installing : redhat-rpm-config-262-1.fc39.noarch 146/151 Installing : rpm-build-4.19.0-1.fc39.x86_64 147/151 Installing : pyproject-srpm-macros-1.10.0-1.fc39.noarch 148/151 Installing : util-linux-2.39.2-1.fc39.x86_64 149/151 Installing : which-2.21-40.fc39.x86_64 150/151 Installing : info-7.0.3-3.fc39.x86_64 151/151 Running scriptlet: filesystem-3.18-6.fc39.x86_64 151/151 Running scriptlet: ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 151/151 Running scriptlet: authselect-libs-1.4.3-1.fc39.x86_64 151/151 Running scriptlet: rpm-4.19.0-1.fc39.x86_64 151/151 Running scriptlet: info-7.0.3-3.fc39.x86_64 151/151 Verifying : alternatives-1.25-1.fc39.x86_64 1/151 Verifying : ansible-srpm-macros-1-11.fc39.noarch 2/151 Verifying : audit-libs-3.1.2-4.fc39.x86_64 3/151 Verifying : authselect-1.4.3-1.fc39.x86_64 4/151 Verifying : authselect-libs-1.4.3-1.fc39.x86_64 5/151 Verifying : basesystem-11-18.fc39.noarch 6/151 Verifying : binutils-2.40-13.fc39.x86_64 7/151 Verifying : binutils-gold-2.40-13.fc39.x86_64 8/151 Verifying : bzip2-1.0.8-16.fc39.x86_64 9/151 Verifying : bzip2-libs-1.0.8-16.fc39.x86_64 10/151 Verifying : ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch 11/151 Verifying : coreutils-9.3-4.fc39.x86_64 12/151 Verifying : coreutils-common-9.3-4.fc39.x86_64 13/151 Verifying : cpio-2.14-4.fc39.x86_64 14/151 Verifying : cracklib-2.9.11-2.fc39.x86_64 15/151 Verifying : curl-8.2.1-3.fc39.x86_64 16/151 Verifying : cyrus-sasl-lib-2.1.28-11.fc39.x86_64 17/151 Verifying : debugedit-5.0-10.fc39.x86_64 18/151 Verifying : diffutils-3.10-3.fc39.x86_64 19/151 Verifying : dwz-0.15-3.fc39.x86_64 20/151 Verifying : ed-1.19-4.fc39.x86_64 21/151 Verifying : efi-srpm-macros-5-9.fc39.noarch 22/151 Verifying : fedora-gpg-keys-39-1.noarch 23/151 Verifying : fedora-release-39-30.noarch 24/151 Verifying : fedora-release-common-39-30.noarch 25/151 Verifying : fedora-release-identity-basic-39-30.noarch 26/151 Verifying : fedora-repos-39-1.noarch 27/151 Verifying : file-5.44-5.fc39.x86_64 28/151 Verifying : file-libs-5.44-5.fc39.x86_64 29/151 Verifying : filesystem-3.18-6.fc39.x86_64 30/151 Verifying : findutils-1:4.9.0-5.fc39.x86_64 31/151 Verifying : fonts-srpm-macros-1:2.0.5-12.fc39.noarch 32/151 Verifying : fpc-srpm-macros-1.3-8.fc39.noarch 33/151 Verifying : gawk-5.2.2-2.fc39.x86_64 34/151 Verifying : gdbm-libs-1:1.23-4.fc39.x86_64 35/151 Verifying : ghc-srpm-macros-1.6.1-2.fc39.noarch 36/151 Verifying : gmp-1:6.2.1-5.fc39.x86_64 37/151 Verifying : gnat-srpm-macros-6-3.fc39.noarch 38/151 Verifying : grep-3.11-3.fc39.x86_64 39/151 Verifying : gzip-1.12-6.fc39.x86_64 40/151 Verifying : info-7.0.3-3.fc39.x86_64 41/151 Verifying : jansson-2.13.1-7.fc39.x86_64 42/151 Verifying : kernel-srpm-macros-1.0-20.fc39.noarch 43/151 Verifying : keyutils-libs-1.6.1-7.fc39.x86_64 44/151 Verifying : libacl-2.3.1-8.fc39.x86_64 45/151 Verifying : libarchive-3.7.1-1.fc39.x86_64 46/151 Verifying : libattr-2.5.1-8.fc39.x86_64 47/151 Verifying : libblkid-2.39.2-1.fc39.x86_64 48/151 Verifying : libbrotli-1.1.0-1.fc39.x86_64 49/151 Verifying : libcap-2.48-7.fc39.x86_64 50/151 Verifying : libcap-ng-0.8.3-8.fc39.x86_64 51/151 Verifying : libcom_err-1.47.0-2.fc39.x86_64 52/151 Verifying : libcurl-8.2.1-3.fc39.x86_64 53/151 Verifying : libdb-5.3.28-56.fc39.x86_64 54/151 Verifying : libeconf-0.5.2-1.fc39.x86_64 55/151 Verifying : libevent-2.1.12-9.fc39.x86_64 56/151 Verifying : libfdisk-2.39.2-1.fc39.x86_64 57/151 Verifying : libffi-3.4.4-4.fc39.x86_64 58/151 Verifying : libidn2-2.3.4-3.fc39.x86_64 59/151 Verifying : libmount-2.39.2-1.fc39.x86_64 60/151 Verifying : libnsl2-2.0.0-6.fc39.x86_64 61/151 Verifying : libpkgconf-1.9.5-2.fc39.x86_64 62/151 Verifying : libpsl-0.21.2-4.fc39.x86_64 63/151 Verifying : libpwquality-1.4.5-6.fc39.x86_64 64/151 Verifying : libselinux-3.5-5.fc39.x86_64 65/151 Verifying : libsemanage-3.5-4.fc39.x86_64 66/151 Verifying : libsepol-3.5-2.fc39.x86_64 67/151 Verifying : libsigsegv-2.14-5.fc39.x86_64 68/151 Verifying : libsmartcols-2.39.2-1.fc39.x86_64 69/151 Verifying : libssh-0.10.5-2.fc39.x86_64 70/151 Verifying : libssh-config-0.10.5-2.fc39.noarch 71/151 Verifying : libtasn1-4.19.0-3.fc39.x86_64 72/151 Verifying : libunistring-1.1-5.fc39.x86_64 73/151 Verifying : libutempter-1.2.1-10.fc39.x86_64 74/151 Verifying : libuuid-2.39.2-1.fc39.x86_64 75/151 Verifying : libverto-0.3.2-6.fc39.x86_64 76/151 Verifying : libxcrypt-4.4.36-2.fc39.x86_64 77/151 Verifying : libxml2-2.10.4-3.fc39.x86_64 78/151 Verifying : libzstd-1.5.5-4.fc39.x86_64 79/151 Verifying : lua-libs-5.4.6-3.fc39.x86_64 80/151 Verifying : lua-srpm-macros-1-9.fc39.noarch 81/151 Verifying : lz4-libs-1.9.4-4.fc39.x86_64 82/151 Verifying : mpfr-4.2.0-3.fc39.x86_64 83/151 Verifying : ncurses-base-6.4-7.20230520.fc39.noarch 84/151 Verifying : ncurses-libs-6.4-7.20230520.fc39.x86_64 85/151 Verifying : ocaml-srpm-macros-8-2.fc39.noarch 86/151 Verifying : openblas-srpm-macros-2-14.fc39.noarch 87/151 Verifying : openldap-2.6.6-1.fc39.x86_64 88/151 Verifying : openssl-libs-1:3.1.1-4.fc39.x86_64 89/151 Verifying : package-notes-srpm-macros-0.5-9.fc39.noarch 90/151 Verifying : patch-2.7.6-22.fc39.x86_64 91/151 Verifying : pcre2-10.42-1.fc39.2.x86_64 92/151 Verifying : pcre2-syntax-10.42-1.fc39.2.noarch 93/151 Verifying : perl-srpm-macros-1-51.fc39.noarch 94/151 Verifying : pkgconf-1.9.5-2.fc39.x86_64 95/151 Verifying : pkgconf-m4-1.9.5-2.fc39.noarch 96/151 Verifying : pkgconf-pkg-config-1.9.5-2.fc39.x86_64 97/151 Verifying : popt-1.19-3.fc39.x86_64 98/151 Verifying : publicsuffix-list-dafsa-20230812-1.fc39.noarch 99/151 Verifying : python-srpm-macros-3.12-4.fc39.noarch 100/151 Verifying : readline-8.2-4.fc39.x86_64 101/151 Verifying : redhat-rpm-config-262-1.fc39.noarch 102/151 Verifying : rpm-4.19.0-1.fc39.x86_64 103/151 Verifying : rpm-build-4.19.0-1.fc39.x86_64 104/151 Verifying : rpm-build-libs-4.19.0-1.fc39.x86_64 105/151 Verifying : rpm-libs-4.19.0-1.fc39.x86_64 106/151 Verifying : rpm-sequoia-1.5.0-1.fc39.x86_64 107/151 Verifying : rpmautospec-rpm-macros-0.3.5-4.fc39.noarch 108/151 Verifying : sed-4.8-14.fc39.x86_64 109/151 Verifying : setup-2.14.4-1.fc39.noarch 110/151 Verifying : sqlite-libs-3.42.0-7.fc39.x86_64 111/151 Verifying : systemd-libs-254.5-2.fc39.x86_64 112/151 Verifying : tar-2:1.35-2.fc39.x86_64 113/151 Verifying : unzip-6.0-62.fc39.x86_64 114/151 Verifying : util-linux-2.39.2-1.fc39.x86_64 115/151 Verifying : util-linux-core-2.39.2-1.fc39.x86_64 116/151 Verifying : which-2.21-40.fc39.x86_64 117/151 Verifying : xxhash-libs-0.8.2-1.fc39.x86_64 118/151 Verifying : xz-5.4.4-1.fc39.x86_64 119/151 Verifying : xz-libs-5.4.4-1.fc39.x86_64 120/151 Verifying : zip-3.0-39.fc39.x86_64 121/151 Verifying : zlib-1.2.13-4.fc39.x86_64 122/151 Verifying : zstd-1.5.5-4.fc39.x86_64 123/151 Verifying : bash-5.2.21-1.fc39.x86_64 124/151 Verifying : crypto-policies-20231113-1.gitb402e82.fc39.noarc 125/151 Verifying : elfutils-0.190-1.fc39.x86_64 126/151 Verifying : elfutils-debuginfod-client-0.190-1.fc39.x86_64 127/151 Verifying : elfutils-default-yama-scope-0.190-1.fc39.noarch 128/151 Verifying : elfutils-libelf-0.190-1.fc39.x86_64 129/151 Verifying : elfutils-libs-0.190-1.fc39.x86_64 130/151 Verifying : gdb-minimal-13.2-10.fc39.x86_64 131/151 Verifying : glibc-2.38-10.fc39.x86_64 132/151 Verifying : glibc-common-2.38-10.fc39.x86_64 133/151 Verifying : glibc-gconv-extra-2.38-10.fc39.x86_64 134/151 Verifying : glibc-minimal-langpack-2.38-10.fc39.x86_64 135/151 Verifying : go-srpm-macros-3.3.1-1.fc39.noarch 136/151 Verifying : krb5-libs-1.21.2-2.fc39.x86_64 137/151 Verifying : libgcc-13.2.1-4.fc39.x86_64 138/151 Verifying : libgomp-13.2.1-4.fc39.x86_64 139/151 Verifying : libnghttp2-1.55.1-4.fc39.x86_64 140/151 Verifying : libstdc++-13.2.1-4.fc39.x86_64 141/151 Verifying : libtirpc-1.3.4-0.fc39.x86_64 142/151 Verifying : p11-kit-0.25.2-1.fc39.x86_64 143/151 Verifying : p11-kit-trust-0.25.2-1.fc39.x86_64 144/151 Verifying : pam-1.5.3-3.fc39.x86_64 145/151 Verifying : pam-libs-1.5.3-3.fc39.x86_64 146/151 Verifying : pyproject-srpm-macros-1.10.0-1.fc39.noarch 147/151 Verifying : qt5-srpm-macros-5.15.11-1.fc39.noarch 148/151 Verifying : qt6-srpm-macros-6.6.0-1.fc39.noarch 149/151 Verifying : rust-srpm-macros-25.2-2.fc39.noarch 150/151 Verifying : shadow-utils-2:4.14.0-2.fc39.x86_64 151/151 Installed products updated. Installed: alternatives-1.25-1.fc39.x86_64 ansible-srpm-macros-1-11.fc39.noarch audit-libs-3.1.2-4.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.21-1.fc39.x86_64 binutils-2.40-13.fc39.x86_64 binutils-gold-2.40-13.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-4.fc39.x86_64 coreutils-common-9.3-4.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231113-1.gitb402e82.fc39.noarch curl-8.2.1-3.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-10.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.190-1.fc39.x86_64 elfutils-debuginfod-client-0.190-1.fc39.x86_64 elfutils-default-yama-scope-0.190-1.fc39.noarch elfutils-libelf-0.190-1.fc39.x86_64 elfutils-libs-0.190-1.fc39.x86_64 fedora-gpg-keys-39-1.noarch fedora-release-39-30.noarch fedora-release-common-39-30.noarch fedora-release-identity-basic-39-30.noarch fedora-repos-39-1.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-1:4.9.0-5.fc39.x86_64 fonts-srpm-macros-1:2.0.5-12.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-13.2-10.fc39.x86_64 gdbm-libs-1:1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-10.fc39.x86_64 glibc-common-2.38-10.fc39.x86_64 glibc-gconv-extra-2.38-10.fc39.x86_64 glibc-minimal-langpack-2.38-10.fc39.x86_64 gmp-1:6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.3.1-1.fc39.noarch grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.1-7.fc39.x86_64 krb5-libs-1.21.2-2.fc39.x86_64 libacl-2.3.1-8.fc39.x86_64 libarchive-3.7.1-1.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.2-1.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-7.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-3.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-1.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.2-1.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.2.1-4.fc39.x86_64 libgomp-13.2.1-4.fc39.x86_64 libidn2-2.3.4-3.fc39.x86_64 libmount-2.39.2-1.fc39.x86_64 libnghttp2-1.55.1-4.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.2-1.fc39.x86_64 libssh-0.10.5-2.fc39.x86_64 libssh-config-0.10.5-2.fc39.noarch libstdc++-13.2.1-4.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.4-0.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.2-1.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.5-4.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-9.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.noarch ncurses-libs-6.4-7.20230520.fc39.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.6-1.fc39.x86_64 openssl-libs-1:3.1.1-4.fc39.x86_64 p11-kit-0.25.2-1.fc39.x86_64 p11-kit-trust-0.25.2-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20230812-1.fc39.noarch pyproject-srpm-macros-1.10.0-1.fc39.noarch python-srpm-macros-3.12-4.fc39.noarch qt5-srpm-macros-5.15.11-1.fc39.noarch qt6-srpm-macros-6.6.0-1.fc39.noarch readline-8.2-4.fc39.x86_64 redhat-rpm-config-262-1.fc39.noarch rpm-4.19.0-1.fc39.x86_64 rpm-build-4.19.0-1.fc39.x86_64 rpm-build-libs-4.19.0-1.fc39.x86_64 rpm-libs-4.19.0-1.fc39.x86_64 rpm-sequoia-1.5.0-1.fc39.x86_64 rpmautospec-rpm-macros-0.3.5-4.fc39.noarch rust-srpm-macros-25.2-2.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-2:4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.5-2.fc39.x86_64 tar-2:1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.2-1.fc39.x86_64 util-linux-core-2.39.2-1.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.5-4.fc39.x86_64 Complete! Finish: installing minimal buildroot with dnf Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: alternatives-1.25-1.fc39.x86_64 ansible-srpm-macros-1-11.fc39.noarch audit-libs-3.1.2-4.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.21-1.fc39.x86_64 binutils-2.40-13.fc39.x86_64 binutils-gold-2.40-13.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-4.fc39.x86_64 coreutils-common-9.3-4.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231113-1.gitb402e82.fc39.noarch curl-8.2.1-3.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-10.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.190-1.fc39.x86_64 elfutils-debuginfod-client-0.190-1.fc39.x86_64 elfutils-default-yama-scope-0.190-1.fc39.noarch elfutils-libelf-0.190-1.fc39.x86_64 elfutils-libs-0.190-1.fc39.x86_64 fedora-gpg-keys-39-1.noarch fedora-release-39-30.noarch fedora-release-common-39-30.noarch fedora-release-identity-basic-39-30.noarch fedora-repos-39-1.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-4.9.0-5.fc39.x86_64 fonts-srpm-macros-2.0.5-12.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-13.2-10.fc39.x86_64 gdbm-libs-1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-10.fc39.x86_64 glibc-common-2.38-10.fc39.x86_64 glibc-gconv-extra-2.38-10.fc39.x86_64 glibc-minimal-langpack-2.38-10.fc39.x86_64 gmp-6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.3.1-1.fc39.noarch gpg-pubkey-18b8e74c-62f2920f grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.1-7.fc39.x86_64 krb5-libs-1.21.2-2.fc39.x86_64 libacl-2.3.1-8.fc39.x86_64 libarchive-3.7.1-1.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.2-1.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-7.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-3.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-1.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.2-1.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.2.1-4.fc39.x86_64 libgomp-13.2.1-4.fc39.x86_64 libidn2-2.3.4-3.fc39.x86_64 libmount-2.39.2-1.fc39.x86_64 libnghttp2-1.55.1-4.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.2-1.fc39.x86_64 libssh-0.10.5-2.fc39.x86_64 libssh-config-0.10.5-2.fc39.noarch libstdc++-13.2.1-4.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.4-0.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.2-1.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.5-4.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-9.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.noarch ncurses-libs-6.4-7.20230520.fc39.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.6-1.fc39.x86_64 openssl-libs-3.1.1-4.fc39.x86_64 p11-kit-0.25.2-1.fc39.x86_64 p11-kit-trust-0.25.2-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20230812-1.fc39.noarch pyproject-srpm-macros-1.10.0-1.fc39.noarch python-srpm-macros-3.12-4.fc39.noarch qt5-srpm-macros-5.15.11-1.fc39.noarch qt6-srpm-macros-6.6.0-1.fc39.noarch readline-8.2-4.fc39.x86_64 redhat-rpm-config-262-1.fc39.noarch rpm-4.19.0-1.fc39.x86_64 rpm-build-4.19.0-1.fc39.x86_64 rpm-build-libs-4.19.0-1.fc39.x86_64 rpm-libs-4.19.0-1.fc39.x86_64 rpm-sequoia-1.5.0-1.fc39.x86_64 rpmautospec-rpm-macros-0.3.5-4.fc39.noarch rust-srpm-macros-25.2-2.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.5-2.fc39.x86_64 tar-1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.2-1.fc39.x86_64 util-linux-core-2.39.2-1.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.5-4.fc39.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-abess-0.4.8-1.fc39.copr6665363.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild -bs INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1700312509.504721/root/var/log/dnf.rpm.log /var/lib/mock/fedora-39-x86_64-1700312509.504721/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1700312509.504721/root/var/log/dnf.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-nm24t15e/R-CRAN-abess/R-CRAN-abess.spec) Config(child) 1 minutes 17 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-abess-0.4.8-1.fc39.copr6665363.src.rpm) Config(fedora-39-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-1700312509.504721/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 Finish: chroot init INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.18.1-3.fc38.x86_64 rpm-sequoia-1.4.0-3.fc38.x86_64 python3-dnf-4.18.1-1.fc38.noarch python3-dnf-plugins-core-4.4.3-1.fc38.noarch yum-4.18.1-1.fc38.noarch Start: build phase for R-CRAN-abess-0.4.8-1.fc39.copr6665363.src.rpm Start: build setup for R-CRAN-abess-0.4.8-1.fc39.copr6665363.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-abess-0.4.8-1.fc39.copr6665363.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing No matches found for the following disable plugin patterns: local, spacewalk, versionlock Updating Subscription Management repositories. Unable to read consumer identity This system is not registered with an entitlement server. You can use subscription-manager to register. Copr repository 32 kB/s | 1.5 kB 00:00 Copr repository 51 MB/s | 26 MB 00:00 fedora 396 kB/s | 23 kB 00:00 updates 273 kB/s | 12 kB 00:00 Dependencies resolved. ======================================================================================== Package Arch Version Repo Size ======================================================================================== Installing: R-CRAN-MASS x86_64 7.3.60-1.fc39.copr6282081 copr_base 1.2 M R-CRAN-Matrix x86_64 1.6.3-1.fc39.copr6636945 copr_base 4.1 M R-CRAN-Rcpp x86_64 1.0.11-1.fc39.copr6279302 copr_base 2.0 M R-CRAN-RcppEigen x86_64 0.3.3.9.4-1.fc39.copr6596539 copr_base 1.2 M R-core x86_64 4.3.2-1.fc39 updates 64 M R-devel x86_64 4.3.2-1.fc39 updates 10 k Installing dependencies: R-CRAN-lattice x86_64 0.22.5-1.fc39.copr6562879 copr_base 1.4 M R-core-devel x86_64 4.3.2-1.fc39 updates 93 k R-java x86_64 4.3.2-1.fc39 updates 11 k R-java-devel x86_64 4.3.2-1.fc39 updates 10 k R-littler x86_64 0.3.18-4.fc39 fedora 76 k R-rpm-macros noarch 1.2.1-7.fc39 fedora 11 k abattis-cantarell-vf-fonts noarch 0.301-10.fc39 fedora 121 k alsa-lib x86_64 1.2.10-3.fc39 fedora 522 k annobin-docs noarch 12.30-1.fc39 updates 92 k annobin-plugin-gcc x86_64 12.30-1.fc39 updates 959 k avahi-libs x86_64 0.8-24.fc39 fedora 67 k brotli x86_64 1.1.0-1.fc39 fedora 20 k brotli-devel x86_64 1.1.0-1.fc39 fedora 34 k bzip2-devel x86_64 1.0.8-16.fc39 fedora 214 k cairo x86_64 1.18.0-1.fc39 fedora 710 k cmake-filesystem x86_64 3.27.7-1.fc39 fedora 19 k copy-jdk-configs noarch 4.1-3.fc39 fedora 28 k cpp x86_64 13.2.1-4.fc39 updates 11 M crypto-policies-scripts noarch 20231113-1.gitb402e82.fc39 updates 117 k cups-libs x86_64 1:2.4.7-2.fc39 updates 269 k dbus-libs x86_64 1:1.14.10-1.fc39 fedora 156 k default-fonts-core-sans noarch 4.0-9.fc39 fedora 32 k desktop-file-utils x86_64 0.26-9.fc39 fedora 72 k emacs-filesystem noarch 1:29.1-2.fc39 fedora 7.1 k expat x86_64 2.5.0-3.fc39 fedora 110 k flexiblas x86_64 3.3.1-5.fc39 fedora 33 k flexiblas-devel x86_64 3.3.1-5.fc39 fedora 117 k flexiblas-netlib x86_64 3.3.1-5.fc39 fedora 3.1 M flexiblas-netlib64 x86_64 3.3.1-5.fc39 fedora 3.0 M flexiblas-openblas-openmp x86_64 3.3.1-5.fc39 fedora 17 k flexiblas-openblas-openmp64 x86_64 3.3.1-5.fc39 fedora 17 k fontconfig x86_64 2.14.2-5.fc39 fedora 297 k fontconfig-devel x86_64 2.14.2-5.fc39 fedora 165 k fonts-filesystem noarch 1:2.0.5-12.fc39 fedora 8.2 k freetype x86_64 2.13.1-2.fc39 fedora 414 k freetype-devel x86_64 2.13.1-2.fc39 fedora 950 k fribidi x86_64 1.0.13-2.fc39 fedora 91 k gc x86_64 8.2.2-4.fc39 fedora 110 k gcc x86_64 13.2.1-4.fc39 updates 34 M gcc-c++ x86_64 13.2.1-4.fc39 updates 13 M gcc-gfortran x86_64 13.2.1-4.fc39 updates 12 M gcc-plugin-annobin x86_64 13.2.1-4.fc39 updates 48 k gettext x86_64 0.22-2.fc39 fedora 1.1 M gettext-envsubst x86_64 0.22-2.fc39 fedora 36 k gettext-libs x86_64 0.22-2.fc39 fedora 328 k gettext-runtime x86_64 0.22-2.fc39 fedora 120 k glib2 x86_64 2.78.1-1.fc39 updates 2.8 M glib2-devel x86_64 2.78.1-1.fc39 updates 595 k glibc-devel x86_64 2.38-10.fc39 updates 85 k glibc-headers-x86 noarch 2.38-10.fc39 updates 568 k gnutls x86_64 3.8.1-1.fc39 fedora 1.1 M google-noto-fonts-common noarch 20230801-4.fc39 updates 17 k google-noto-sans-vf-fonts noarch 20230801-4.fc39 updates 583 k graphite2 x86_64 1.3.14-12.fc39 fedora 95 k graphite2-devel x86_64 1.3.14-12.fc39 fedora 20 k guile22 x86_64 2.2.7-9.fc39 fedora 6.5 M harfbuzz x86_64 8.2.1-2.fc39 fedora 975 k harfbuzz-devel x86_64 8.2.1-2.fc39 fedora 450 k harfbuzz-icu x86_64 8.2.1-2.fc39 fedora 17 k java-17-openjdk x86_64 1:17.0.8.0.7-1.fc39 fedora 407 k java-17-openjdk-devel x86_64 1:17.0.8.0.7-1.fc39 fedora 4.7 M java-17-openjdk-headless x86_64 1:17.0.8.0.7-1.fc39 fedora 44 M javapackages-filesystem noarch 6.1.0-10.fc39 fedora 12 k jbigkit-libs x86_64 2.1-26.fc39 fedora 53 k kernel-headers x86_64 6.5.4-300.fc39 fedora 1.5 M libICE x86_64 1.0.10-11.fc39 fedora 70 k libRmath x86_64 4.3.2-1.fc39 updates 122 k libRmath-devel x86_64 4.3.2-1.fc39 updates 16 k libSM x86_64 1.2.3-13.fc39 fedora 41 k libX11 x86_64 1.8.7-1.fc39 fedora 650 k libX11-common noarch 1.8.7-1.fc39 fedora 176 k libX11-devel x86_64 1.8.7-1.fc39 fedora 1.0 M libX11-xcb x86_64 1.8.7-1.fc39 fedora 12 k libXau x86_64 1.0.11-3.fc39 fedora 31 k libXau-devel x86_64 1.0.11-3.fc39 fedora 14 k libXcomposite x86_64 0.4.5-10.fc39 fedora 23 k libXext x86_64 1.3.5-3.fc39 fedora 39 k libXft x86_64 2.3.8-3.fc39 fedora 72 k libXft-devel x86_64 2.3.8-3.fc39 fedora 50 k libXi x86_64 1.8.1-2.fc39 fedora 40 k libXmu x86_64 1.1.4-3.fc39 fedora 76 k libXrender x86_64 0.9.11-3.fc39 fedora 27 k libXrender-devel x86_64 0.9.11-3.fc39 fedora 19 k libXt x86_64 1.2.1-5.fc39 fedora 178 k libXtst x86_64 1.2.4-3.fc39 fedora 20 k libb2 x86_64 0.98.1-9.fc39 fedora 25 k libblkid-devel x86_64 2.39.2-1.fc39 fedora 18 k libdatrie x86_64 0.2.13-7.fc39 fedora 32 k libffi-devel x86_64 3.4.4-4.fc39 fedora 29 k libfontenc x86_64 1.1.6-3.fc39 fedora 32 k libgfortran x86_64 13.2.1-4.fc39 updates 900 k libicu x86_64 73.2-2.fc39 fedora 11 M libicu-devel x86_64 73.2-2.fc39 fedora 924 k libjpeg-turbo x86_64 2.1.4-3.fc39 fedora 183 k liblerc x86_64 4.0.0-4.fc39 fedora 201 k libmount-devel x86_64 2.39.2-1.fc39 fedora 18 k libmpc x86_64 1.3.1-3.fc39 fedora 70 k libpng x86_64 2:1.6.37-15.fc39 fedora 119 k libpng-devel x86_64 2:1.6.37-15.fc39 fedora 291 k libquadmath x86_64 13.2.1-4.fc39 updates 196 k libquadmath-devel x86_64 13.2.1-4.fc39 updates 38 k libselinux-devel x86_64 3.5-5.fc39 fedora 151 k libsepol-devel x86_64 3.5-2.fc39 fedora 49 k libstdc++-devel x86_64 13.2.1-4.fc39 updates 2.6 M libthai x86_64 0.1.29-6.fc39 fedora 213 k libtiff x86_64 4.4.0-8.fc39 fedora 202 k libtirpc-devel x86_64 1.3.4-0.fc39 updates 125 k libtool-ltdl x86_64 2.4.7-7.fc39 fedora 36 k libwebp x86_64 1.3.2-2.fc39 fedora 284 k libxcb x86_64 1.13.1-12.fc39 fedora 233 k libxcb-devel x86_64 1.13.1-12.fc39 fedora 1.4 M libxcrypt-devel x86_64 4.4.36-2.fc39 fedora 30 k libxml2-devel x86_64 2.10.4-3.fc39 fedora 527 k lksctp-tools x86_64 1.0.19-4.fc39 fedora 92 k lua x86_64 5.4.6-3.fc39 fedora 191 k lua-posix x86_64 36.2.1-3.fc39 fedora 143 k make x86_64 1:4.4.1-2.fc39 fedora 589 k mkfontscale x86_64 1.2.2-4.fc39 fedora 32 k mpdecimal x86_64 2.5.1-7.fc39 fedora 89 k nettle x86_64 3.9.1-2.fc39 fedora 425 k nspr x86_64 4.35.0-14.fc39 fedora 136 k nss x86_64 3.94.0-2.fc39 fedora 693 k nss-softokn x86_64 3.94.0-2.fc39 fedora 411 k nss-softokn-freebl x86_64 3.94.0-2.fc39 fedora 348 k nss-sysinit x86_64 3.94.0-2.fc39 fedora 18 k nss-util x86_64 3.94.0-2.fc39 fedora 87 k openblas x86_64 0.3.21-6.fc39 fedora 35 k openblas-openmp x86_64 0.3.21-6.fc39 fedora 4.9 M openblas-openmp64 x86_64 0.3.21-6.fc39 fedora 4.8 M pango x86_64 1.51.0-1.fc39 fedora 343 k pcre2-devel x86_64 10.42-1.fc39.2 fedora 505 k pcre2-utf16 x86_64 10.42-1.fc39.2 fedora 212 k pcre2-utf32 x86_64 10.42-1.fc39.2 fedora 200 k pixman x86_64 0.42.2-2.fc39 fedora 288 k python-pip-wheel noarch 23.2.1-1.fc39 fedora 1.5 M python3 x86_64 3.12.0-1.fc39 fedora 26 k python3-libs x86_64 3.12.0-1.fc39 fedora 9.2 M python3-setuptools noarch 67.7.2-7.fc39 fedora 1.5 M sysprof-capture-devel x86_64 45.1-1.fc39 updates 59 k tcl x86_64 1:8.6.12-5.fc39 fedora 1.1 M tcl-devel x86_64 1:8.6.12-5.fc39 fedora 169 k tk x86_64 1:8.6.12-5.fc39 fedora 1.6 M tk-devel x86_64 1:8.6.12-5.fc39 fedora 537 k tre x86_64 0.8.0-41.20140228gitc2f5d13.fc39 fedora 43 k tre-common noarch 0.8.0-41.20140228gitc2f5d13.fc39 fedora 31 k tre-devel x86_64 0.8.0-41.20140228gitc2f5d13.fc39 fedora 12 k ttmkfdir x86_64 3.0.9-69.fc39 fedora 56 k tzdata noarch 2023c-2.fc39 fedora 717 k tzdata-java noarch 2023c-2.fc39 fedora 208 k xdg-utils noarch 1.1.3-15.fc39 fedora 77 k xml-common noarch 0.6.3-61.fc39 fedora 31 k xorg-x11-fonts-Type1 noarch 7.5-36.fc39 fedora 504 k xorg-x11-proto-devel noarch 2023.2-2.fc39 fedora 298 k xz-devel x86_64 5.4.4-1.fc39 fedora 66 k zlib-devel x86_64 1.2.13-4.fc39 fedora 45 k Transaction Summary ======================================================================================== Install 161 Packages Total download size: 276 M Installed size: 874 M Downloading Packages: (1/161): R-CRAN-Matrix-1.6.3-1.fc39.copr6636945 15 MB/s | 4.1 MB 00:00 (2/161): R-CRAN-MASS-7.3.60-1.fc39.copr6282081. 4.0 MB/s | 1.2 MB 00:00 (3/161): R-CRAN-RcppEigen-0.3.3.9.4-1.fc39.copr 24 MB/s | 1.2 MB 00:00 (4/161): R-CRAN-Rcpp-1.0.11-1.fc39.copr6279302. 6.1 MB/s | 2.0 MB 00:00 (5/161): R-CRAN-lattice-0.22.5-1.fc39.copr65628 49 MB/s | 1.4 MB 00:00 (6/161): R-rpm-macros-1.2.1-7.fc39.noarch.rpm 276 kB/s | 11 kB 00:00 (7/161): R-littler-0.3.18-4.fc39.x86_64.rpm 909 kB/s | 76 kB 00:00 (8/161): avahi-libs-0.8-24.fc39.x86_64.rpm 2.5 MB/s | 67 kB 00:00 (9/161): abattis-cantarell-vf-fonts-0.301-10.fc 1.1 MB/s | 121 kB 00:00 (10/161): brotli-1.1.0-1.fc39.x86_64.rpm 868 kB/s | 20 kB 00:00 (11/161): brotli-devel-1.1.0-1.fc39.x86_64.rpm 1.4 MB/s | 34 kB 00:00 (12/161): alsa-lib-1.2.10-3.fc39.x86_64.rpm 4.8 MB/s | 522 kB 00:00 (13/161): bzip2-devel-1.0.8-16.fc39.x86_64.rpm 5.1 MB/s | 214 kB 00:00 (14/161): cmake-filesystem-3.27.7-1.fc39.x86_64 833 kB/s | 19 kB 00:00 (15/161): copy-jdk-configs-4.1-3.fc39.noarch.rp 1.4 MB/s | 28 kB 00:00 (16/161): dbus-libs-1.14.10-1.fc39.x86_64.rpm 6.9 MB/s | 156 kB 00:00 (17/161): default-fonts-core-sans-4.0-9.fc39.no 1.7 MB/s | 32 kB 00:00 (18/161): desktop-file-utils-0.26-9.fc39.x86_64 3.7 MB/s | 72 kB 00:00 (19/161): cairo-1.18.0-1.fc39.x86_64.rpm 8.6 MB/s | 710 kB 00:00 (20/161): emacs-filesystem-29.1-2.fc39.noarch.r 375 kB/s | 7.1 kB 00:00 (21/161): expat-2.5.0-3.fc39.x86_64.rpm 5.5 MB/s | 110 kB 00:00 (22/161): flexiblas-3.3.1-5.fc39.x86_64.rpm 1.7 MB/s | 33 kB 00:00 (23/161): flexiblas-devel-3.3.1-5.fc39.x86_64.r 5.7 MB/s | 117 kB 00:00 (24/161): flexiblas-openblas-openmp-3.3.1-5.fc3 932 kB/s | 17 kB 00:00 (25/161): flexiblas-openblas-openmp64-3.3.1-5.f 915 kB/s | 17 kB 00:00 (26/161): fontconfig-2.14.2-5.fc39.x86_64.rpm 5.2 MB/s | 297 kB 00:00 (27/161): fontconfig-devel-2.14.2-5.fc39.x86_64 4.3 MB/s | 165 kB 00:00 (28/161): fonts-filesystem-2.0.5-12.fc39.noarch 435 kB/s | 8.2 kB 00:00 (29/161): flexiblas-netlib64-3.3.1-5.fc39.x86_6 14 MB/s | 3.0 MB 00:00 (30/161): freetype-2.13.1-2.fc39.x86_64.rpm 7.1 MB/s | 414 kB 00:00 (31/161): flexiblas-netlib-3.3.1-5.fc39.x86_64. 14 MB/s | 3.1 MB 00:00 (32/161): fribidi-1.0.13-2.fc39.x86_64.rpm 4.1 MB/s | 91 kB 00:00 (33/161): gc-8.2.2-4.fc39.x86_64.rpm 5.6 MB/s | 110 kB 00:00 (34/161): gettext-envsubst-0.22-2.fc39.x86_64.r 1.8 MB/s | 36 kB 00:00 (35/161): freetype-devel-2.13.1-2.fc39.x86_64.r 15 MB/s | 950 kB 00:00 (36/161): gettext-libs-0.22-2.fc39.x86_64.rpm 15 MB/s | 328 kB 00:00 (37/161): gettext-runtime-0.22-2.fc39.x86_64.rp 5.6 MB/s | 120 kB 00:00 (38/161): graphite2-1.3.14-12.fc39.x86_64.rpm 4.5 MB/s | 95 kB 00:00 (39/161): graphite2-devel-1.3.14-12.fc39.x86_64 1.0 MB/s | 20 kB 00:00 (40/161): gettext-0.22-2.fc39.x86_64.rpm 9.0 MB/s | 1.1 MB 00:00 (41/161): gnutls-3.8.1-1.fc39.x86_64.rpm 14 MB/s | 1.1 MB 00:00 (42/161): harfbuzz-devel-8.2.1-2.fc39.x86_64.rp 11 MB/s | 450 kB 00:00 (43/161): harfbuzz-icu-8.2.1-2.fc39.x86_64.rpm 903 kB/s | 17 kB 00:00 (44/161): harfbuzz-8.2.1-2.fc39.x86_64.rpm 10 MB/s | 975 kB 00:00 (45/161): java-17-openjdk-17.0.8.0.7-1.fc39.x86 11 MB/s | 407 kB 00:00 (46/161): guile22-2.2.7-9.fc39.x86_64.rpm 22 MB/s | 6.5 MB 00:00 (47/161): javapackages-filesystem-6.1.0-10.fc39 537 kB/s | 12 kB 00:00 (48/161): jbigkit-libs-2.1-26.fc39.x86_64.rpm 2.5 MB/s | 53 kB 00:00 (49/161): kernel-headers-6.5.4-300.fc39.x86_64. 22 MB/s | 1.5 MB 00:00 (50/161): libICE-1.0.10-11.fc39.x86_64.rpm 3.3 MB/s | 70 kB 00:00 (51/161): java-17-openjdk-devel-17.0.8.0.7-1.fc 14 MB/s | 4.7 MB 00:00 (52/161): libSM-1.2.3-13.fc39.x86_64.rpm 1.8 MB/s | 41 kB 00:00 (53/161): libX11-common-1.8.7-1.fc39.noarch.rpm 7.1 MB/s | 176 kB 00:00 (54/161): libX11-1.8.7-1.fc39.x86_64.rpm 15 MB/s | 650 kB 00:00 (55/161): libX11-xcb-1.8.7-1.fc39.x86_64.rpm 545 kB/s | 12 kB 00:00 (56/161): libX11-devel-1.8.7-1.fc39.x86_64.rpm 22 MB/s | 1.0 MB 00:00 (57/161): libXau-1.0.11-3.fc39.x86_64.rpm 1.5 MB/s | 31 kB 00:00 (58/161): libXau-devel-1.0.11-3.fc39.x86_64.rpm 660 kB/s | 14 kB 00:00 (59/161): libXcomposite-0.4.5-10.fc39.x86_64.rp 1.2 MB/s | 23 kB 00:00 (60/161): libXext-1.3.5-3.fc39.x86_64.rpm 1.9 MB/s | 39 kB 00:00 (61/161): libXft-2.3.8-3.fc39.x86_64.rpm 3.6 MB/s | 72 kB 00:00 (62/161): libXft-devel-2.3.8-3.fc39.x86_64.rpm 2.5 MB/s | 50 kB 00:00 (63/161): libXi-1.8.1-2.fc39.x86_64.rpm 2.1 MB/s | 40 kB 00:00 (64/161): libXmu-1.1.4-3.fc39.x86_64.rpm 3.7 MB/s | 76 kB 00:00 (65/161): libXrender-0.9.11-3.fc39.x86_64.rpm 1.4 MB/s | 27 kB 00:00 (66/161): libXrender-devel-0.9.11-3.fc39.x86_64 923 kB/s | 19 kB 00:00 (67/161): libXt-1.2.1-5.fc39.x86_64.rpm 7.5 MB/s | 178 kB 00:00 (68/161): libXtst-1.2.4-3.fc39.x86_64.rpm 827 kB/s | 20 kB 00:00 (69/161): libb2-0.98.1-9.fc39.x86_64.rpm 1.0 MB/s | 25 kB 00:00 (70/161): libblkid-devel-2.39.2-1.fc39.x86_64.r 706 kB/s | 18 kB 00:00 (71/161): libdatrie-0.2.13-7.fc39.x86_64.rpm 1.3 MB/s | 32 kB 00:00 (72/161): libffi-devel-3.4.4-4.fc39.x86_64.rpm 1.1 MB/s | 29 kB 00:00 (73/161): libfontenc-1.1.6-3.fc39.x86_64.rpm 1.1 MB/s | 32 kB 00:00 (74/161): libicu-devel-73.2-2.fc39.x86_64.rpm 8.8 MB/s | 924 kB 00:00 (75/161): libjpeg-turbo-2.1.4-3.fc39.x86_64.rpm 4.7 MB/s | 183 kB 00:00 (76/161): liblerc-4.0.0-4.fc39.x86_64.rpm 5.2 MB/s | 201 kB 00:00 (77/161): libmount-devel-2.39.2-1.fc39.x86_64.r 515 kB/s | 18 kB 00:00 (78/161): libmpc-1.3.1-3.fc39.x86_64.rpm 2.0 MB/s | 70 kB 00:00 (79/161): libpng-1.6.37-15.fc39.x86_64.rpm 3.3 MB/s | 119 kB 00:00 (80/161): libpng-devel-1.6.37-15.fc39.x86_64.rp 6.9 MB/s | 291 kB 00:00 (81/161): libicu-73.2-2.fc39.x86_64.rpm 22 MB/s | 11 MB 00:00 (82/161): libsepol-devel-3.5-2.fc39.x86_64.rpm 2.0 MB/s | 49 kB 00:00 (83/161): libthai-0.1.29-6.fc39.x86_64.rpm 7.7 MB/s | 213 kB 00:00 (84/161): libtiff-4.4.0-8.fc39.x86_64.rpm 7.6 MB/s | 202 kB 00:00 (85/161): libtool-ltdl-2.4.7-7.fc39.x86_64.rpm 1.6 MB/s | 36 kB 00:00 (86/161): libwebp-1.3.2-2.fc39.x86_64.rpm 11 MB/s | 284 kB 00:00 (87/161): libxcb-1.13.1-12.fc39.x86_64.rpm 9.7 MB/s | 233 kB 00:00 (88/161): libxcb-devel-1.13.1-12.fc39.x86_64.rp 25 MB/s | 1.4 MB 00:00 (89/161): libxcrypt-devel-4.4.36-2.fc39.x86_64. 1.4 MB/s | 30 kB 00:00 (90/161): libxml2-devel-2.10.4-3.fc39.x86_64.rp 20 MB/s | 527 kB 00:00 (91/161): lksctp-tools-1.0.19-4.fc39.x86_64.rpm 2.6 MB/s | 92 kB 00:00 (92/161): lua-5.4.6-3.fc39.x86_64.rpm 2.6 MB/s | 191 kB 00:00 (93/161): libselinux-devel-3.5-5.fc39.x86_64.rp 198 kB/s | 151 kB 00:00 (94/161): java-17-openjdk-headless-17.0.8.0.7-1 24 MB/s | 44 MB 00:01 (95/161): mkfontscale-1.2.2-4.fc39.x86_64.rpm 1.7 MB/s | 32 kB 00:00 (96/161): lua-posix-36.2.1-3.fc39.x86_64.rpm 331 kB/s | 143 kB 00:00 (97/161): mpdecimal-2.5.1-7.fc39.x86_64.rpm 4.5 MB/s | 89 kB 00:00 (98/161): nspr-4.35.0-14.fc39.x86_64.rpm 6.8 MB/s | 136 kB 00:00 (99/161): nss-3.94.0-2.fc39.x86_64.rpm 18 MB/s | 693 kB 00:00 (100/161): nss-softokn-3.94.0-2.fc39.x86_64.rpm 18 MB/s | 411 kB 00:00 (101/161): nss-softokn-freebl-3.94.0-2.fc39.x86 15 MB/s | 348 kB 00:00 (102/161): nettle-3.9.1-2.fc39.x86_64.rpm 3.0 MB/s | 425 kB 00:00 (103/161): nss-sysinit-3.94.0-2.fc39.x86_64.rpm 988 kB/s | 18 kB 00:00 (104/161): nss-util-3.94.0-2.fc39.x86_64.rpm 4.2 MB/s | 87 kB 00:00 (105/161): openblas-0.3.21-6.fc39.x86_64.rpm 1.8 MB/s | 35 kB 00:00 (106/161): openblas-openmp64-0.3.21-6.fc39.x86_ 27 MB/s | 4.8 MB 00:00 (107/161): pango-1.51.0-1.fc39.x86_64.rpm 14 MB/s | 343 kB 00:00 (108/161): pcre2-devel-10.42-1.fc39.2.x86_64.rp 20 MB/s | 505 kB 00:00 (109/161): openblas-openmp-0.3.21-6.fc39.x86_64 21 MB/s | 4.9 MB 00:00 (110/161): pcre2-utf16-10.42-1.fc39.2.x86_64.rp 10 MB/s | 212 kB 00:00 (111/161): pcre2-utf32-10.42-1.fc39.2.x86_64.rp 9.2 MB/s | 200 kB 00:00 (112/161): pixman-0.42.2-2.fc39.x86_64.rpm 13 MB/s | 288 kB 00:00 (113/161): python3-3.12.0-1.fc39.x86_64.rpm 1.4 MB/s | 26 kB 00:00 (114/161): python-pip-wheel-23.2.1-1.fc39.noarc 21 MB/s | 1.5 MB 00:00 (115/161): python3-setuptools-67.7.2-7.fc39.noa 24 MB/s | 1.5 MB 00:00 (116/161): make-4.4.1-2.fc39.x86_64.rpm 776 kB/s | 589 kB 00:00 (117/161): tcl-8.6.12-5.fc39.x86_64.rpm 25 MB/s | 1.1 MB 00:00 (118/161): tk-8.6.12-5.fc39.x86_64.rpm 26 MB/s | 1.6 MB 00:00 (119/161): tcl-devel-8.6.12-5.fc39.x86_64.rpm 1.6 MB/s | 169 kB 00:00 (120/161): tk-devel-8.6.12-5.fc39.x86_64.rpm 21 MB/s | 537 kB 00:00 (121/161): tre-common-0.8.0-41.20140228gitc2f5d 1.5 MB/s | 31 kB 00:00 (122/161): tre-0.8.0-41.20140228gitc2f5d13.fc39 1.1 MB/s | 43 kB 00:00 (123/161): tre-devel-0.8.0-41.20140228gitc2f5d1 543 kB/s | 12 kB 00:00 (124/161): ttmkfdir-3.0.9-69.fc39.x86_64.rpm 1.5 MB/s | 56 kB 00:00 (125/161): tzdata-2023c-2.fc39.noarch.rpm 18 MB/s | 717 kB 00:00 (126/161): python3-libs-3.12.0-1.fc39.x86_64.rp 28 MB/s | 9.2 MB 00:00 (127/161): xdg-utils-1.1.3-15.fc39.noarch.rpm 3.8 MB/s | 77 kB 00:00 (128/161): xml-common-0.6.3-61.fc39.noarch.rpm 1.6 MB/s | 31 kB 00:00 (129/161): xorg-x11-fonts-Type1-7.5-36.fc39.noa 21 MB/s | 504 kB 00:00 (130/161): xorg-x11-proto-devel-2023.2-2.fc39.n 14 MB/s | 298 kB 00:00 (131/161): xz-devel-5.4.4-1.fc39.x86_64.rpm 3.3 MB/s | 66 kB 00:00 (132/161): zlib-devel-1.2.13-4.fc39.x86_64.rpm 2.3 MB/s | 45 kB 00:00 (133/161): tzdata-java-2023c-2.fc39.noarch.rpm 2.1 MB/s | 208 kB 00:00 (134/161): R-devel-4.3.2-1.fc39.x86_64.rpm 287 kB/s | 10 kB 00:00 (135/161): R-java-4.3.2-1.fc39.x86_64.rpm 533 kB/s | 11 kB 00:00 (136/161): R-core-devel-4.3.2-1.fc39.x86_64.rpm 1.2 MB/s | 93 kB 00:00 (137/161): R-java-devel-4.3.2-1.fc39.x86_64.rpm 509 kB/s | 10 kB 00:00 (138/161): annobin-docs-12.30-1.fc39.noarch.rpm 3.8 MB/s | 92 kB 00:00 (139/161): annobin-plugin-gcc-12.30-1.fc39.x86_ 4.4 MB/s | 959 kB 00:00 (140/161): crypto-policies-scripts-20231113-1.g 2.7 MB/s | 117 kB 00:00 (141/161): cups-libs-2.4.7-2.fc39.x86_64.rpm 3.4 MB/s | 269 kB 00:00 (142/161): cpp-13.2.1-4.fc39.x86_64.rpm 20 MB/s | 11 MB 00:00 (143/161): gcc-c++-13.2.1-4.fc39.x86_64.rpm 12 MB/s | 13 MB 00:01 (144/161): R-core-4.3.2-1.fc39.x86_64.rpm 35 MB/s | 64 MB 00:01 (145/161): gcc-plugin-annobin-13.2.1-4.fc39.x86 2.5 MB/s | 48 kB 00:00 (146/161): glib2-2.78.1-1.fc39.x86_64.rpm 26 MB/s | 2.8 MB 00:00 (147/161): glib2-devel-2.78.1-1.fc39.x86_64.rpm 16 MB/s | 595 kB 00:00 (148/161): glibc-devel-2.38-10.fc39.x86_64.rpm 4.4 MB/s | 85 kB 00:00 (149/161): glibc-headers-x86-2.38-10.fc39.noarc 16 MB/s | 568 kB 00:00 (150/161): google-noto-fonts-common-20230801-4. 967 kB/s | 17 kB 00:00 (151/161): google-noto-sans-vf-fonts-20230801-4 16 MB/s | 583 kB 00:00 (152/161): libRmath-4.3.2-1.fc39.x86_64.rpm 5.4 MB/s | 122 kB 00:00 (153/161): libRmath-devel-4.3.2-1.fc39.x86_64.r 866 kB/s | 16 kB 00:00 (154/161): libgfortran-13.2.1-4.fc39.x86_64.rpm 20 MB/s | 900 kB 00:00 (155/161): libquadmath-13.2.1-4.fc39.x86_64.rpm 8.6 MB/s | 196 kB 00:00 (156/161): libquadmath-devel-13.2.1-4.fc39.x86_ 2.0 MB/s | 38 kB 00:00 (157/161): libstdc++-devel-13.2.1-4.fc39.x86_64 27 MB/s | 2.6 MB 00:00 (158/161): libtirpc-devel-1.3.4-0.fc39.x86_64.r 6.1 MB/s | 125 kB 00:00 (159/161): sysprof-capture-devel-45.1-1.fc39.x8 3.1 MB/s | 59 kB 00:00 (160/161): gcc-gfortran-13.2.1-4.fc39.x86_64.rp 14 MB/s | 12 MB 00:00 (161/161): gcc-13.2.1-4.fc39.x86_64.rpm 9.5 MB/s | 34 MB 00:03 -------------------------------------------------------------------------------- Total 35 MB/s | 276 MB 00:07 Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. Running transaction Running scriptlet: copy-jdk-configs-4.1-3.fc39.noarch 1/1 Running scriptlet: java-17-openjdk-headless-1:17.0.8.0.7-1.fc39.x86_64 1/1 Preparing : 1/1 Installing : zlib-devel-1.2.13-4.fc39.x86_64 1/161 Installing : libgfortran-13.2.1-4.fc39.x86_64 2/161 Installing : nspr-4.35.0-14.fc39.x86_64 3/161 Installing : nss-util-3.94.0-2.fc39.x86_64 4/161 Installing : libquadmath-13.2.1-4.fc39.x86_64 5/161 Installing : xorg-x11-proto-devel-2023.2-2.fc39.noarch 6/161 Installing : libpng-2:1.6.37-15.fc39.x86_64 7/161 Installing : libmpc-1.3.1-3.fc39.x86_64 8/161 Installing : tcl-1:8.6.12-5.fc39.x86_64 9/161 Installing : libicu-73.2-2.fc39.x86_64 10/161 Installing : fonts-filesystem-1:2.0.5-12.fc39.noarch 11/161 Installing : libicu-devel-73.2-2.fc39.x86_64 12/161 Installing : tcl-devel-1:8.6.12-5.fc39.x86_64 13/161 Installing : libRmath-4.3.2-1.fc39.x86_64 14/161 Installing : xz-devel-5.4.4-1.fc39.x86_64 15/161 Installing : openblas-0.3.21-6.fc39.x86_64 16/161 Installing : libjpeg-turbo-2.1.4-3.fc39.x86_64 17/161 Installing : libXau-1.0.11-3.fc39.x86_64 18/161 Installing : libxcb-1.13.1-12.fc39.x86_64 19/161 Installing : libICE-1.0.10-11.fc39.x86_64 20/161 Installing : graphite2-1.3.14-12.fc39.x86_64 21/161 Installing : gettext-libs-0.22-2.fc39.x86_64 22/161 Installing : bzip2-devel-1.0.8-16.fc39.x86_64 23/161 Installing : graphite2-devel-1.3.14-12.fc39.x86_64 24/161 Installing : libSM-1.2.3-13.fc39.x86_64 25/161 Installing : libXau-devel-1.0.11-3.fc39.x86_64 26/161 Installing : libxcb-devel-1.13.1-12.fc39.x86_64 27/161 Installing : openblas-openmp-0.3.21-6.fc39.x86_64 28/161 Installing : openblas-openmp64-0.3.21-6.fc39.x86_64 29/161 Installing : flexiblas-netlib-3.3.1-5.fc39.x86_64 30/161 Installing : flexiblas-openblas-openmp-3.3.1-5.fc39.x86_64 31/161 Installing : flexiblas-netlib64-3.3.1-5.fc39.x86_64 32/161 Installing : flexiblas-openblas-openmp64-3.3.1-5.fc39.x86_64 33/161 Installing : flexiblas-3.3.1-5.fc39.x86_64 34/161 Installing : flexiblas-devel-3.3.1-5.fc39.x86_64 35/161 Installing : libRmath-devel-4.3.2-1.fc39.x86_64 36/161 Installing : abattis-cantarell-vf-fonts-0.301-10.fc39.noarch 37/161 Installing : cpp-13.2.1-4.fc39.x86_64 38/161 Installing : libpng-devel-2:1.6.37-15.fc39.x86_64 39/161 Installing : nss-softokn-freebl-3.94.0-2.fc39.x86_64 40/161 Installing : nss-softokn-3.94.0-2.fc39.x86_64 41/161 Installing : sysprof-capture-devel-45.1-1.fc39.x86_64 42/161 Installing : libtirpc-devel-1.3.4-0.fc39.x86_64 43/161 Installing : libstdc++-devel-13.2.1-4.fc39.x86_64 44/161 Installing : google-noto-fonts-common-20230801-4.fc39.noarch 45/161 Installing : google-noto-sans-vf-fonts-20230801-4.fc39.noarch 46/161 Installing : default-fonts-core-sans-4.0-9.fc39.noarch 47/161 Installing : glibc-headers-x86-2.38-10.fc39.noarch 48/161 Installing : annobin-docs-12.30-1.fc39.noarch 49/161 Running scriptlet: xml-common-0.6.3-61.fc39.noarch 50/161 Installing : xml-common-0.6.3-61.fc39.noarch 50/161 Installing : tzdata-java-2023c-2.fc39.noarch 51/161 Installing : tzdata-2023c-2.fc39.noarch 52/161 Installing : tre-common-0.8.0-41.20140228gitc2f5d13.fc39.noar 53/161 Installing : tre-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 54/161 Installing : tre-devel-0.8.0-41.20140228gitc2f5d13.fc39.x86_6 55/161 Installing : python-pip-wheel-23.2.1-1.fc39.noarch 56/161 Installing : pixman-0.42.2-2.fc39.x86_64 57/161 Installing : pcre2-utf32-10.42-1.fc39.2.x86_64 58/161 Installing : pcre2-utf16-10.42-1.fc39.2.x86_64 59/161 Installing : pcre2-devel-10.42-1.fc39.2.x86_64 60/161 Installing : nettle-3.9.1-2.fc39.x86_64 61/161 Installing : gnutls-3.8.1-1.fc39.x86_64 62/161 Installing : glib2-2.78.1-1.fc39.x86_64 63/161 Installing : mpdecimal-2.5.1-7.fc39.x86_64 64/161 Installing : lua-posix-36.2.1-3.fc39.x86_64 65/161 Installing : lua-5.4.6-3.fc39.x86_64 66/161 Installing : copy-jdk-configs-4.1-3.fc39.noarch 67/161 Installing : lksctp-tools-1.0.19-4.fc39.x86_64 68/161 Installing : libwebp-1.3.2-2.fc39.x86_64 69/161 Installing : libtool-ltdl-2.4.7-7.fc39.x86_64 70/161 Installing : libsepol-devel-3.5-2.fc39.x86_64 71/161 Installing : libselinux-devel-3.5-5.fc39.x86_64 72/161 Installing : liblerc-4.0.0-4.fc39.x86_64 73/161 Installing : libfontenc-1.1.6-3.fc39.x86_64 74/161 Installing : libffi-devel-3.4.4-4.fc39.x86_64 75/161 Installing : libdatrie-0.2.13-7.fc39.x86_64 76/161 Installing : libthai-0.1.29-6.fc39.x86_64 77/161 Installing : libblkid-devel-2.39.2-1.fc39.x86_64 78/161 Installing : libmount-devel-2.39.2-1.fc39.x86_64 79/161 Installing : libb2-0.98.1-9.fc39.x86_64 80/161 Installing : libX11-xcb-1.8.7-1.fc39.x86_64 81/161 Installing : libX11-common-1.8.7-1.fc39.noarch 82/161 Installing : libX11-1.8.7-1.fc39.x86_64 83/161 Installing : libXext-1.3.5-3.fc39.x86_64 84/161 Installing : libXrender-0.9.11-3.fc39.x86_64 85/161 Installing : cairo-1.18.0-1.fc39.x86_64 86/161 Installing : harfbuzz-8.2.1-2.fc39.x86_64 87/161 Installing : freetype-2.13.1-2.fc39.x86_64 88/161 Installing : fontconfig-2.14.2-5.fc39.x86_64 89/161 Running scriptlet: fontconfig-2.14.2-5.fc39.x86_64 89/161 Installing : libXft-2.3.8-3.fc39.x86_64 90/161 Installing : libX11-devel-1.8.7-1.fc39.x86_64 91/161 Running scriptlet: tk-1:8.6.12-5.fc39.x86_64 92/161 Installing : tk-1:8.6.12-5.fc39.x86_64 92/161 Installing : libXi-1.8.1-2.fc39.x86_64 93/161 Installing : libXt-1.2.1-5.fc39.x86_64 94/161 Installing : libXmu-1.1.4-3.fc39.x86_64 95/161 Installing : libXtst-1.2.4-3.fc39.x86_64 96/161 Installing : libXrender-devel-0.9.11-3.fc39.x86_64 97/161 Installing : mkfontscale-1.2.2-4.fc39.x86_64 98/161 Installing : ttmkfdir-3.0.9-69.fc39.x86_64 99/161 Installing : xorg-x11-fonts-Type1-7.5-36.fc39.noarch 100/161 Running scriptlet: xorg-x11-fonts-Type1-7.5-36.fc39.noarch 100/161 Installing : harfbuzz-icu-8.2.1-2.fc39.x86_64 101/161 Installing : libXcomposite-0.4.5-10.fc39.x86_64 102/161 Installing : kernel-headers-6.5.4-300.fc39.x86_64 103/161 Installing : libxcrypt-devel-4.4.36-2.fc39.x86_64 104/161 Installing : glibc-devel-2.38-10.fc39.x86_64 105/161 Installing : jbigkit-libs-2.1-26.fc39.x86_64 106/161 Installing : libtiff-4.4.0-8.fc39.x86_64 107/161 Installing : javapackages-filesystem-6.1.0-10.fc39.noarch 108/161 Installing : gettext-envsubst-0.22-2.fc39.x86_64 109/161 Installing : gettext-runtime-0.22-2.fc39.x86_64 110/161 Installing : gettext-0.22-2.fc39.x86_64 111/161 Installing : gc-8.2.2-4.fc39.x86_64 112/161 Installing : guile22-2.2.7-9.fc39.x86_64 113/161 Installing : make-1:4.4.1-2.fc39.x86_64 114/161 Installing : gcc-13.2.1-4.fc39.x86_64 115/161 Running scriptlet: gcc-13.2.1-4.fc39.x86_64 115/161 Installing : gcc-c++-13.2.1-4.fc39.x86_64 116/161 Installing : libquadmath-devel-13.2.1-4.fc39.x86_64 117/161 Installing : gcc-gfortran-13.2.1-4.fc39.x86_64 118/161 Installing : fribidi-1.0.13-2.fc39.x86_64 119/161 Installing : pango-1.51.0-1.fc39.x86_64 120/161 Installing : expat-2.5.0-3.fc39.x86_64 121/161 Installing : python3-3.12.0-1.fc39.x86_64 122/161 Installing : python3-libs-3.12.0-1.fc39.x86_64 123/161 Installing : python3-setuptools-67.7.2-7.fc39.noarch 124/161 Installing : glib2-devel-2.78.1-1.fc39.x86_64 125/161 Installing : crypto-policies-scripts-20231113-1.gitb402e82.fc 126/161 Installing : nss-sysinit-3.94.0-2.fc39.x86_64 127/161 Installing : nss-3.94.0-2.fc39.x86_64 128/161 Running scriptlet: nss-3.94.0-2.fc39.x86_64 128/161 Installing : emacs-filesystem-1:29.1-2.fc39.noarch 129/161 Installing : desktop-file-utils-0.26-9.fc39.x86_64 130/161 Installing : xdg-utils-1.1.3-15.fc39.noarch 131/161 Installing : R-core-4.3.2-1.fc39.x86_64 132/161 Installing : R-CRAN-lattice-0.22.5-1.fc39.copr6562879.x86_64 133/161 Installing : R-littler-0.3.18-4.fc39.x86_64 134/161 Installing : R-CRAN-Rcpp-1.0.11-1.fc39.copr6279302.x86_64 135/161 Installing : R-rpm-macros-1.2.1-7.fc39.noarch 136/161 Installing : dbus-libs-1:1.14.10-1.fc39.x86_64 137/161 Installing : avahi-libs-0.8-24.fc39.x86_64 138/161 Installing : cups-libs-1:2.4.7-2.fc39.x86_64 139/161 Installing : cmake-filesystem-3.27.7-1.fc39.x86_64 140/161 Installing : libxml2-devel-2.10.4-3.fc39.x86_64 141/161 Installing : brotli-1.1.0-1.fc39.x86_64 142/161 Installing : brotli-devel-1.1.0-1.fc39.x86_64 143/161 Installing : freetype-devel-2.13.1-2.fc39.x86_64 144/161 Installing : harfbuzz-devel-8.2.1-2.fc39.x86_64 145/161 Installing : fontconfig-devel-2.14.2-5.fc39.x86_64 146/161 Installing : libXft-devel-2.3.8-3.fc39.x86_64 147/161 Installing : tk-devel-1:8.6.12-5.fc39.x86_64 148/161 Installing : R-core-devel-4.3.2-1.fc39.x86_64 149/161 Installing : alsa-lib-1.2.10-3.fc39.x86_64 150/161 Installing : java-17-openjdk-headless-1:17.0.8.0.7-1.fc39.x86 151/161 Running scriptlet: java-17-openjdk-headless-1:17.0.8.0.7-1.fc39.x86 151/161 Installing : java-17-openjdk-1:17.0.8.0.7-1.fc39.x86_64 152/161 Running scriptlet: java-17-openjdk-1:17.0.8.0.7-1.fc39.x86_64 152/161 Installing : java-17-openjdk-devel-1:17.0.8.0.7-1.fc39.x86_64 153/161 Running scriptlet: java-17-openjdk-devel-1:17.0.8.0.7-1.fc39.x86_64 153/161 Installing : R-java-4.3.2-1.fc39.x86_64 154/161 Installing : R-java-devel-4.3.2-1.fc39.x86_64 155/161 Installing : R-devel-4.3.2-1.fc39.x86_64 156/161 Installing : R-CRAN-RcppEigen-0.3.3.9.4-1.fc39.copr6596539.x8 157/161 Installing : R-CRAN-Matrix-1.6.3-1.fc39.copr6636945.x86_64 158/161 Installing : R-CRAN-MASS-7.3.60-1.fc39.copr6282081.x86_64 159/161 Installing : annobin-plugin-gcc-12.30-1.fc39.x86_64 160/161 Running scriptlet: annobin-plugin-gcc-12.30-1.fc39.x86_64 160/161 Installing : gcc-plugin-annobin-13.2.1-4.fc39.x86_64 161/161 Running scriptlet: gcc-plugin-annobin-13.2.1-4.fc39.x86_64 161/161 Running scriptlet: copy-jdk-configs-4.1-3.fc39.noarch 161/161 Running scriptlet: fontconfig-2.14.2-5.fc39.x86_64 161/161 Running scriptlet: crypto-policies-scripts-20231113-1.gitb402e82.fc 161/161 Running scriptlet: nss-3.94.0-2.fc39.x86_64 161/161 Running scriptlet: java-17-openjdk-headless-1:17.0.8.0.7-1.fc39.x86 161/161 Running scriptlet: java-17-openjdk-1:17.0.8.0.7-1.fc39.x86_64 161/161 Running scriptlet: java-17-openjdk-devel-1:17.0.8.0.7-1.fc39.x86_64 161/161 Running scriptlet: gcc-plugin-annobin-13.2.1-4.fc39.x86_64 161/161 Verifying : R-CRAN-MASS-7.3.60-1.fc39.copr6282081.x86_64 1/161 Verifying : R-CRAN-Matrix-1.6.3-1.fc39.copr6636945.x86_64 2/161 Verifying : R-CRAN-Rcpp-1.0.11-1.fc39.copr6279302.x86_64 3/161 Verifying : R-CRAN-RcppEigen-0.3.3.9.4-1.fc39.copr6596539.x8 4/161 Verifying : R-CRAN-lattice-0.22.5-1.fc39.copr6562879.x86_64 5/161 Verifying : R-littler-0.3.18-4.fc39.x86_64 6/161 Verifying : R-rpm-macros-1.2.1-7.fc39.noarch 7/161 Verifying : abattis-cantarell-vf-fonts-0.301-10.fc39.noarch 8/161 Verifying : alsa-lib-1.2.10-3.fc39.x86_64 9/161 Verifying : avahi-libs-0.8-24.fc39.x86_64 10/161 Verifying : brotli-1.1.0-1.fc39.x86_64 11/161 Verifying : brotli-devel-1.1.0-1.fc39.x86_64 12/161 Verifying : bzip2-devel-1.0.8-16.fc39.x86_64 13/161 Verifying : cairo-1.18.0-1.fc39.x86_64 14/161 Verifying : cmake-filesystem-3.27.7-1.fc39.x86_64 15/161 Verifying : copy-jdk-configs-4.1-3.fc39.noarch 16/161 Verifying : dbus-libs-1:1.14.10-1.fc39.x86_64 17/161 Verifying : default-fonts-core-sans-4.0-9.fc39.noarch 18/161 Verifying : desktop-file-utils-0.26-9.fc39.x86_64 19/161 Verifying : emacs-filesystem-1:29.1-2.fc39.noarch 20/161 Verifying : expat-2.5.0-3.fc39.x86_64 21/161 Verifying : flexiblas-3.3.1-5.fc39.x86_64 22/161 Verifying : flexiblas-devel-3.3.1-5.fc39.x86_64 23/161 Verifying : flexiblas-netlib-3.3.1-5.fc39.x86_64 24/161 Verifying : flexiblas-netlib64-3.3.1-5.fc39.x86_64 25/161 Verifying : flexiblas-openblas-openmp-3.3.1-5.fc39.x86_64 26/161 Verifying : flexiblas-openblas-openmp64-3.3.1-5.fc39.x86_64 27/161 Verifying : fontconfig-2.14.2-5.fc39.x86_64 28/161 Verifying : fontconfig-devel-2.14.2-5.fc39.x86_64 29/161 Verifying : fonts-filesystem-1:2.0.5-12.fc39.noarch 30/161 Verifying : freetype-2.13.1-2.fc39.x86_64 31/161 Verifying : freetype-devel-2.13.1-2.fc39.x86_64 32/161 Verifying : fribidi-1.0.13-2.fc39.x86_64 33/161 Verifying : gc-8.2.2-4.fc39.x86_64 34/161 Verifying : gettext-0.22-2.fc39.x86_64 35/161 Verifying : gettext-envsubst-0.22-2.fc39.x86_64 36/161 Verifying : gettext-libs-0.22-2.fc39.x86_64 37/161 Verifying : gettext-runtime-0.22-2.fc39.x86_64 38/161 Verifying : gnutls-3.8.1-1.fc39.x86_64 39/161 Verifying : graphite2-1.3.14-12.fc39.x86_64 40/161 Verifying : graphite2-devel-1.3.14-12.fc39.x86_64 41/161 Verifying : guile22-2.2.7-9.fc39.x86_64 42/161 Verifying : harfbuzz-8.2.1-2.fc39.x86_64 43/161 Verifying : harfbuzz-devel-8.2.1-2.fc39.x86_64 44/161 Verifying : harfbuzz-icu-8.2.1-2.fc39.x86_64 45/161 Verifying : java-17-openjdk-1:17.0.8.0.7-1.fc39.x86_64 46/161 Verifying : java-17-openjdk-devel-1:17.0.8.0.7-1.fc39.x86_64 47/161 Verifying : java-17-openjdk-headless-1:17.0.8.0.7-1.fc39.x86 48/161 Verifying : javapackages-filesystem-6.1.0-10.fc39.noarch 49/161 Verifying : jbigkit-libs-2.1-26.fc39.x86_64 50/161 Verifying : kernel-headers-6.5.4-300.fc39.x86_64 51/161 Verifying : libICE-1.0.10-11.fc39.x86_64 52/161 Verifying : libSM-1.2.3-13.fc39.x86_64 53/161 Verifying : libX11-1.8.7-1.fc39.x86_64 54/161 Verifying : libX11-common-1.8.7-1.fc39.noarch 55/161 Verifying : libX11-devel-1.8.7-1.fc39.x86_64 56/161 Verifying : libX11-xcb-1.8.7-1.fc39.x86_64 57/161 Verifying : libXau-1.0.11-3.fc39.x86_64 58/161 Verifying : libXau-devel-1.0.11-3.fc39.x86_64 59/161 Verifying : libXcomposite-0.4.5-10.fc39.x86_64 60/161 Verifying : libXext-1.3.5-3.fc39.x86_64 61/161 Verifying : libXft-2.3.8-3.fc39.x86_64 62/161 Verifying : libXft-devel-2.3.8-3.fc39.x86_64 63/161 Verifying : libXi-1.8.1-2.fc39.x86_64 64/161 Verifying : libXmu-1.1.4-3.fc39.x86_64 65/161 Verifying : libXrender-0.9.11-3.fc39.x86_64 66/161 Verifying : libXrender-devel-0.9.11-3.fc39.x86_64 67/161 Verifying : libXt-1.2.1-5.fc39.x86_64 68/161 Verifying : libXtst-1.2.4-3.fc39.x86_64 69/161 Verifying : libb2-0.98.1-9.fc39.x86_64 70/161 Verifying : libblkid-devel-2.39.2-1.fc39.x86_64 71/161 Verifying : libdatrie-0.2.13-7.fc39.x86_64 72/161 Verifying : libffi-devel-3.4.4-4.fc39.x86_64 73/161 Verifying : libfontenc-1.1.6-3.fc39.x86_64 74/161 Verifying : libicu-73.2-2.fc39.x86_64 75/161 Verifying : libicu-devel-73.2-2.fc39.x86_64 76/161 Verifying : libjpeg-turbo-2.1.4-3.fc39.x86_64 77/161 Verifying : liblerc-4.0.0-4.fc39.x86_64 78/161 Verifying : libmount-devel-2.39.2-1.fc39.x86_64 79/161 Verifying : libmpc-1.3.1-3.fc39.x86_64 80/161 Verifying : libpng-2:1.6.37-15.fc39.x86_64 81/161 Verifying : libpng-devel-2:1.6.37-15.fc39.x86_64 82/161 Verifying : libselinux-devel-3.5-5.fc39.x86_64 83/161 Verifying : libsepol-devel-3.5-2.fc39.x86_64 84/161 Verifying : libthai-0.1.29-6.fc39.x86_64 85/161 Verifying : libtiff-4.4.0-8.fc39.x86_64 86/161 Verifying : libtool-ltdl-2.4.7-7.fc39.x86_64 87/161 Verifying : libwebp-1.3.2-2.fc39.x86_64 88/161 Verifying : libxcb-1.13.1-12.fc39.x86_64 89/161 Verifying : libxcb-devel-1.13.1-12.fc39.x86_64 90/161 Verifying : libxcrypt-devel-4.4.36-2.fc39.x86_64 91/161 Verifying : libxml2-devel-2.10.4-3.fc39.x86_64 92/161 Verifying : lksctp-tools-1.0.19-4.fc39.x86_64 93/161 Verifying : lua-5.4.6-3.fc39.x86_64 94/161 Verifying : lua-posix-36.2.1-3.fc39.x86_64 95/161 Verifying : make-1:4.4.1-2.fc39.x86_64 96/161 Verifying : mkfontscale-1.2.2-4.fc39.x86_64 97/161 Verifying : mpdecimal-2.5.1-7.fc39.x86_64 98/161 Verifying : nettle-3.9.1-2.fc39.x86_64 99/161 Verifying : nspr-4.35.0-14.fc39.x86_64 100/161 Verifying : nss-3.94.0-2.fc39.x86_64 101/161 Verifying : nss-softokn-3.94.0-2.fc39.x86_64 102/161 Verifying : nss-softokn-freebl-3.94.0-2.fc39.x86_64 103/161 Verifying : nss-sysinit-3.94.0-2.fc39.x86_64 104/161 Verifying : nss-util-3.94.0-2.fc39.x86_64 105/161 Verifying : openblas-0.3.21-6.fc39.x86_64 106/161 Verifying : openblas-openmp-0.3.21-6.fc39.x86_64 107/161 Verifying : openblas-openmp64-0.3.21-6.fc39.x86_64 108/161 Verifying : pango-1.51.0-1.fc39.x86_64 109/161 Verifying : pcre2-devel-10.42-1.fc39.2.x86_64 110/161 Verifying : pcre2-utf16-10.42-1.fc39.2.x86_64 111/161 Verifying : pcre2-utf32-10.42-1.fc39.2.x86_64 112/161 Verifying : pixman-0.42.2-2.fc39.x86_64 113/161 Verifying : python-pip-wheel-23.2.1-1.fc39.noarch 114/161 Verifying : python3-3.12.0-1.fc39.x86_64 115/161 Verifying : python3-libs-3.12.0-1.fc39.x86_64 116/161 Verifying : python3-setuptools-67.7.2-7.fc39.noarch 117/161 Verifying : tcl-1:8.6.12-5.fc39.x86_64 118/161 Verifying : tcl-devel-1:8.6.12-5.fc39.x86_64 119/161 Verifying : tk-1:8.6.12-5.fc39.x86_64 120/161 Verifying : tk-devel-1:8.6.12-5.fc39.x86_64 121/161 Verifying : tre-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 122/161 Verifying : tre-common-0.8.0-41.20140228gitc2f5d13.fc39.noar 123/161 Verifying : tre-devel-0.8.0-41.20140228gitc2f5d13.fc39.x86_6 124/161 Verifying : ttmkfdir-3.0.9-69.fc39.x86_64 125/161 Verifying : tzdata-2023c-2.fc39.noarch 126/161 Verifying : tzdata-java-2023c-2.fc39.noarch 127/161 Verifying : xdg-utils-1.1.3-15.fc39.noarch 128/161 Verifying : xml-common-0.6.3-61.fc39.noarch 129/161 Verifying : xorg-x11-fonts-Type1-7.5-36.fc39.noarch 130/161 Verifying : xorg-x11-proto-devel-2023.2-2.fc39.noarch 131/161 Verifying : xz-devel-5.4.4-1.fc39.x86_64 132/161 Verifying : zlib-devel-1.2.13-4.fc39.x86_64 133/161 Verifying : R-core-4.3.2-1.fc39.x86_64 134/161 Verifying : R-core-devel-4.3.2-1.fc39.x86_64 135/161 Verifying : R-devel-4.3.2-1.fc39.x86_64 136/161 Verifying : R-java-4.3.2-1.fc39.x86_64 137/161 Verifying : R-java-devel-4.3.2-1.fc39.x86_64 138/161 Verifying : annobin-docs-12.30-1.fc39.noarch 139/161 Verifying : annobin-plugin-gcc-12.30-1.fc39.x86_64 140/161 Verifying : cpp-13.2.1-4.fc39.x86_64 141/161 Verifying : crypto-policies-scripts-20231113-1.gitb402e82.fc 142/161 Verifying : cups-libs-1:2.4.7-2.fc39.x86_64 143/161 Verifying : gcc-13.2.1-4.fc39.x86_64 144/161 Verifying : gcc-c++-13.2.1-4.fc39.x86_64 145/161 Verifying : gcc-gfortran-13.2.1-4.fc39.x86_64 146/161 Verifying : gcc-plugin-annobin-13.2.1-4.fc39.x86_64 147/161 Verifying : glib2-2.78.1-1.fc39.x86_64 148/161 Verifying : glib2-devel-2.78.1-1.fc39.x86_64 149/161 Verifying : glibc-devel-2.38-10.fc39.x86_64 150/161 Verifying : glibc-headers-x86-2.38-10.fc39.noarch 151/161 Verifying : google-noto-fonts-common-20230801-4.fc39.noarch 152/161 Verifying : google-noto-sans-vf-fonts-20230801-4.fc39.noarch 153/161 Verifying : libRmath-4.3.2-1.fc39.x86_64 154/161 Verifying : libRmath-devel-4.3.2-1.fc39.x86_64 155/161 Verifying : libgfortran-13.2.1-4.fc39.x86_64 156/161 Verifying : libquadmath-13.2.1-4.fc39.x86_64 157/161 Verifying : libquadmath-devel-13.2.1-4.fc39.x86_64 158/161 Verifying : libstdc++-devel-13.2.1-4.fc39.x86_64 159/161 Verifying : libtirpc-devel-1.3.4-0.fc39.x86_64 160/161 Verifying : sysprof-capture-devel-45.1-1.fc39.x86_64 161/161 Installed products updated. Installed: R-CRAN-MASS-7.3.60-1.fc39.copr6282081.x86_64 R-CRAN-Matrix-1.6.3-1.fc39.copr6636945.x86_64 R-CRAN-Rcpp-1.0.11-1.fc39.copr6279302.x86_64 R-CRAN-RcppEigen-0.3.3.9.4-1.fc39.copr6596539.x86_64 R-CRAN-lattice-0.22.5-1.fc39.copr6562879.x86_64 R-core-4.3.2-1.fc39.x86_64 R-core-devel-4.3.2-1.fc39.x86_64 R-devel-4.3.2-1.fc39.x86_64 R-java-4.3.2-1.fc39.x86_64 R-java-devel-4.3.2-1.fc39.x86_64 R-littler-0.3.18-4.fc39.x86_64 R-rpm-macros-1.2.1-7.fc39.noarch abattis-cantarell-vf-fonts-0.301-10.fc39.noarch alsa-lib-1.2.10-3.fc39.x86_64 annobin-docs-12.30-1.fc39.noarch annobin-plugin-gcc-12.30-1.fc39.x86_64 avahi-libs-0.8-24.fc39.x86_64 brotli-1.1.0-1.fc39.x86_64 brotli-devel-1.1.0-1.fc39.x86_64 bzip2-devel-1.0.8-16.fc39.x86_64 cairo-1.18.0-1.fc39.x86_64 cmake-filesystem-3.27.7-1.fc39.x86_64 copy-jdk-configs-4.1-3.fc39.noarch cpp-13.2.1-4.fc39.x86_64 crypto-policies-scripts-20231113-1.gitb402e82.fc39.noarch cups-libs-1:2.4.7-2.fc39.x86_64 dbus-libs-1:1.14.10-1.fc39.x86_64 default-fonts-core-sans-4.0-9.fc39.noarch desktop-file-utils-0.26-9.fc39.x86_64 emacs-filesystem-1:29.1-2.fc39.noarch expat-2.5.0-3.fc39.x86_64 flexiblas-3.3.1-5.fc39.x86_64 flexiblas-devel-3.3.1-5.fc39.x86_64 flexiblas-netlib-3.3.1-5.fc39.x86_64 flexiblas-netlib64-3.3.1-5.fc39.x86_64 flexiblas-openblas-openmp-3.3.1-5.fc39.x86_64 flexiblas-openblas-openmp64-3.3.1-5.fc39.x86_64 fontconfig-2.14.2-5.fc39.x86_64 fontconfig-devel-2.14.2-5.fc39.x86_64 fonts-filesystem-1:2.0.5-12.fc39.noarch freetype-2.13.1-2.fc39.x86_64 freetype-devel-2.13.1-2.fc39.x86_64 fribidi-1.0.13-2.fc39.x86_64 gc-8.2.2-4.fc39.x86_64 gcc-13.2.1-4.fc39.x86_64 gcc-c++-13.2.1-4.fc39.x86_64 gcc-gfortran-13.2.1-4.fc39.x86_64 gcc-plugin-annobin-13.2.1-4.fc39.x86_64 gettext-0.22-2.fc39.x86_64 gettext-envsubst-0.22-2.fc39.x86_64 gettext-libs-0.22-2.fc39.x86_64 gettext-runtime-0.22-2.fc39.x86_64 glib2-2.78.1-1.fc39.x86_64 glib2-devel-2.78.1-1.fc39.x86_64 glibc-devel-2.38-10.fc39.x86_64 glibc-headers-x86-2.38-10.fc39.noarch gnutls-3.8.1-1.fc39.x86_64 google-noto-fonts-common-20230801-4.fc39.noarch google-noto-sans-vf-fonts-20230801-4.fc39.noarch graphite2-1.3.14-12.fc39.x86_64 graphite2-devel-1.3.14-12.fc39.x86_64 guile22-2.2.7-9.fc39.x86_64 harfbuzz-8.2.1-2.fc39.x86_64 harfbuzz-devel-8.2.1-2.fc39.x86_64 harfbuzz-icu-8.2.1-2.fc39.x86_64 java-17-openjdk-1:17.0.8.0.7-1.fc39.x86_64 java-17-openjdk-devel-1:17.0.8.0.7-1.fc39.x86_64 java-17-openjdk-headless-1:17.0.8.0.7-1.fc39.x86_64 javapackages-filesystem-6.1.0-10.fc39.noarch jbigkit-libs-2.1-26.fc39.x86_64 kernel-headers-6.5.4-300.fc39.x86_64 libICE-1.0.10-11.fc39.x86_64 libRmath-4.3.2-1.fc39.x86_64 libRmath-devel-4.3.2-1.fc39.x86_64 libSM-1.2.3-13.fc39.x86_64 libX11-1.8.7-1.fc39.x86_64 libX11-common-1.8.7-1.fc39.noarch libX11-devel-1.8.7-1.fc39.x86_64 libX11-xcb-1.8.7-1.fc39.x86_64 libXau-1.0.11-3.fc39.x86_64 libXau-devel-1.0.11-3.fc39.x86_64 libXcomposite-0.4.5-10.fc39.x86_64 libXext-1.3.5-3.fc39.x86_64 libXft-2.3.8-3.fc39.x86_64 libXft-devel-2.3.8-3.fc39.x86_64 libXi-1.8.1-2.fc39.x86_64 libXmu-1.1.4-3.fc39.x86_64 libXrender-0.9.11-3.fc39.x86_64 libXrender-devel-0.9.11-3.fc39.x86_64 libXt-1.2.1-5.fc39.x86_64 libXtst-1.2.4-3.fc39.x86_64 libb2-0.98.1-9.fc39.x86_64 libblkid-devel-2.39.2-1.fc39.x86_64 libdatrie-0.2.13-7.fc39.x86_64 libffi-devel-3.4.4-4.fc39.x86_64 libfontenc-1.1.6-3.fc39.x86_64 libgfortran-13.2.1-4.fc39.x86_64 libicu-73.2-2.fc39.x86_64 libicu-devel-73.2-2.fc39.x86_64 libjpeg-turbo-2.1.4-3.fc39.x86_64 liblerc-4.0.0-4.fc39.x86_64 libmount-devel-2.39.2-1.fc39.x86_64 libmpc-1.3.1-3.fc39.x86_64 libpng-2:1.6.37-15.fc39.x86_64 libpng-devel-2:1.6.37-15.fc39.x86_64 libquadmath-13.2.1-4.fc39.x86_64 libquadmath-devel-13.2.1-4.fc39.x86_64 libselinux-devel-3.5-5.fc39.x86_64 libsepol-devel-3.5-2.fc39.x86_64 libstdc++-devel-13.2.1-4.fc39.x86_64 libthai-0.1.29-6.fc39.x86_64 libtiff-4.4.0-8.fc39.x86_64 libtirpc-devel-1.3.4-0.fc39.x86_64 libtool-ltdl-2.4.7-7.fc39.x86_64 libwebp-1.3.2-2.fc39.x86_64 libxcb-1.13.1-12.fc39.x86_64 libxcb-devel-1.13.1-12.fc39.x86_64 libxcrypt-devel-4.4.36-2.fc39.x86_64 libxml2-devel-2.10.4-3.fc39.x86_64 lksctp-tools-1.0.19-4.fc39.x86_64 lua-5.4.6-3.fc39.x86_64 lua-posix-36.2.1-3.fc39.x86_64 make-1:4.4.1-2.fc39.x86_64 mkfontscale-1.2.2-4.fc39.x86_64 mpdecimal-2.5.1-7.fc39.x86_64 nettle-3.9.1-2.fc39.x86_64 nspr-4.35.0-14.fc39.x86_64 nss-3.94.0-2.fc39.x86_64 nss-softokn-3.94.0-2.fc39.x86_64 nss-softokn-freebl-3.94.0-2.fc39.x86_64 nss-sysinit-3.94.0-2.fc39.x86_64 nss-util-3.94.0-2.fc39.x86_64 openblas-0.3.21-6.fc39.x86_64 openblas-openmp-0.3.21-6.fc39.x86_64 openblas-openmp64-0.3.21-6.fc39.x86_64 pango-1.51.0-1.fc39.x86_64 pcre2-devel-10.42-1.fc39.2.x86_64 pcre2-utf16-10.42-1.fc39.2.x86_64 pcre2-utf32-10.42-1.fc39.2.x86_64 pixman-0.42.2-2.fc39.x86_64 python-pip-wheel-23.2.1-1.fc39.noarch python3-3.12.0-1.fc39.x86_64 python3-libs-3.12.0-1.fc39.x86_64 python3-setuptools-67.7.2-7.fc39.noarch sysprof-capture-devel-45.1-1.fc39.x86_64 tcl-1:8.6.12-5.fc39.x86_64 tcl-devel-1:8.6.12-5.fc39.x86_64 tk-1:8.6.12-5.fc39.x86_64 tk-devel-1:8.6.12-5.fc39.x86_64 tre-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 tre-common-0.8.0-41.20140228gitc2f5d13.fc39.noarch tre-devel-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 ttmkfdir-3.0.9-69.fc39.x86_64 tzdata-2023c-2.fc39.noarch tzdata-java-2023c-2.fc39.noarch xdg-utils-1.1.3-15.fc39.noarch xml-common-0.6.3-61.fc39.noarch xorg-x11-fonts-Type1-7.5-36.fc39.noarch xorg-x11-proto-devel-2023.2-2.fc39.noarch xz-devel-5.4.4-1.fc39.x86_64 zlib-devel-1.2.13-4.fc39.x86_64 Complete! Finish: build setup for R-CRAN-abess-0.4.8-1.fc39.copr6665363.src.rpm Start: rpmbuild R-CRAN-abess-0.4.8-1.fc39.copr6665363.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.1YSaF6 + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf abess + /usr/bin/mkdir -p abess + cd abess + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/abess_0.4.8.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + rm -rf /builddir/build/BUILD/abess-SPECPARTS + /usr/bin/mkdir -p /builddir/build/BUILD/abess-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 abess/src ']' + find abess/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d abess/src ']' + find abess/src/Makevars.in abess/src/Makevars.win -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.ssZK2l + 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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -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=-Wl,-z,relro -Clink-arg=-Wl,-z,now -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -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 abess + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.tTQXHs + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64 ++ dirname /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -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=-Wl,-z,relro -Clink-arg=-Wl,-z,now -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -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 abess + mkdir -p /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64/usr/local/lib/R/library abess * installing *source* package ‘abess’ ... ** package ‘abess’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether g++ -std=gnu++17 accepts -g... yes checking for g++ -std=gnu++17 option to enable C++11 features... none needed checking how to run the C++ preprocessor... g++ -std=gnu++17 -E checking for gcc... gcc checking whether the compiler supports GNU C... yes checking whether gcc accepts -g... yes checking for gcc option to enable C11 features... none needed checking how to run the C preprocessor... gcc -E ***************************************************************************************** Spectra library exists. ***************************************************************************************** ***************************************************************************************** Complier code exists in src/ directory. Install R package according to the complier code. ***************************************************************************************** configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++ (GCC) 13.2.1 20231011 (Red Hat 13.2.1-4)’ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I ../inst/include -DR_BUILD -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -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:397, 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:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::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 >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ RcppExports.cpp:59:505: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ RcppExports.cpp:59:505: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ RcppExports.cpp:59:505: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I ../inst/include -DR_BUILD -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c api.cpp -o api.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397, 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 api.cpp:5: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::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 >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ utilities.h:42:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ utilities.h:42:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix, -1, -1>’ utilities.h:46:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ utilities.h:201:70: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:316:34: required from ‘class Eigen::MatrixSquareRootReturnValue >’ utilities.h:202:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ utilities.h:352:70: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ utilities.h:354:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ utilities.h:362:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ utilities.h:363:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ utilities.h:363:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ utilities.h:386:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ utilities.h:387:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ utilities.h:390:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ utilities.h:433:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ utilities.h:434:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ utilities.h:434:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ utilities.h:444:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ utilities.h:471:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ utilities.h:472:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ utilities.h:495:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate >, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate >, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >’ utilities.h:518:104: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate >, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >’ utilities.h:518:104: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ utilities.h:522:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ utilities.h:522:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ utilities.h:522:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, -1, 1> >’ utilities.h:522:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ Algorithm.h:554:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:91:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ AlgorithmGLM.h:166:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ AlgorithmGLM.h:166:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ AlgorithmGLM.h:309:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ AlgorithmGLM.h:316:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ AlgorithmGLM.h:334:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ AlgorithmGLM.h:335:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:335:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:335:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ AlgorithmGLM.h:434:104: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:500:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:500:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:506:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ AlgorithmGLM.h:506:79: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:598:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ AlgorithmGLM.h:663:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, -1, -1>’ AlgorithmGLM.h:676:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1>, Eigen::Dense>’ AlgorithmGLM.h:678:31: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ AlgorithmGLM.h:678:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ AlgorithmGLM.h:684:68: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ AlgorithmGLM.h:803:67: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ AlgorithmGLM.h:803:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ AlgorithmGLM.h:1027:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ AlgorithmGLM.h:1101:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:1101:93: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ AlgorithmGLM.h:1153:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ AlgorithmGLM.h:1198:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ AlgorithmGLM.h:1203:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ AlgorithmGLM.h:1203:61: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ AlgorithmGLM.h:1217:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ AlgorithmGLM.h:1258:101: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ AlgorithmGLM.h:1258:119: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >’ AlgorithmGLM.h:1263:104: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ AlgorithmGLM.h:1295:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ AlgorithmGLM.h:1300:46: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::LDLT, 1>::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ AlgorithmGLM.h:1300:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>’ AlgorithmGLM.h:1434:113: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ AlgorithmGLM.h:1435:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ AlgorithmGLM.h:1435:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1526:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ AlgorithmGLM.h:1526:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ AlgorithmGLM.h:1561:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1561:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ AlgorithmGLM.h:1567:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ AlgorithmGLM.h:1567:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ AlgorithmGLM.h:1567:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ AlgorithmGLM.h:1567:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ AlgorithmGLM.h:1567:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ AlgorithmGLM.h:1656:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ AlgorithmGLM.h:1837:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ AlgorithmGLM.h:1891:102: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:235:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ ../inst/include/Spectra/MatOp/DenseSymMatProd.h:45:24: required from ‘class Spectra::DenseSymMatProd’ ../inst/include/Spectra/SymEigsBase.h:46:11: required from ‘class Spectra::SymEigsBase, Spectra::IdentityBOp>’ ../inst/include/Spectra/SymEigsSolver.h:134:7: required from ‘class Spectra::SymEigsSolver >’ AlgorithmPCA.h:55:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ AlgorithmPCA.h:79:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ AlgorithmPCA.h:79:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ AlgorithmPCA.h:79:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ AlgorithmPCA.h:79:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ AlgorithmPCA.h:86:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ AlgorithmPCA.h:86:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ AlgorithmPCA.h:86:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_mean, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_mean, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 0>’ AlgorithmPCA.h:121:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ AlgorithmPCA.h:122:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ AlgorithmPCA.h:122:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmPCA.h:122:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmPCA.h:122:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ AlgorithmPCA.h:273:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ Metric.h:295:40: recursively required by substitution of ‘template const Eigen::CwiseBinaryOp, const Eigen::Matrix, const OtherDerived> Eigen::MatrixBase >::cwiseQuotient(const Eigen::MatrixBase&) const [with OtherDerived = ]’ Metric.h:295:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from api.cpp:21: AlgorithmGLM.h: In instantiation of ‘class abessOrdinal >’: api.cpp:116:90: required from here AlgorithmGLM.h:57:29: warning: ‘Eigen::MatrixXd _abessGLM::gradient(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ was hidden [-Woverloaded-virtual=] 57 | virtual Eigen::MatrixXd gradient(T4 &X_full, T1 &y, Eigen::VectorXd &weights, T2 &beta_full) { | ^~~~~~~~ AlgorithmGLM.h:1607:10: note: by ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1607 | bool gradient(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, Eigen::VectorXd &coef0, | ^~~~~~~~ AlgorithmGLM.h: In instantiation of ‘class abessOrdinal >’: api.cpp:173:90: required from here AlgorithmGLM.h:57:29: warning: ‘Eigen::MatrixXd _abessGLM::gradient(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ was hidden [-Woverloaded-virtual=] 57 | virtual Eigen::MatrixXd gradient(T4 &X_full, T1 &y, Eigen::VectorXd &weights, T2 &beta_full) { | ^~~~~~~~ AlgorithmGLM.h:1607:10: note: by ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ 1607 | bool gradient(T4 &X, Eigen::MatrixXd &y, Eigen::VectorXd &weights, Eigen::MatrixXd &beta, Eigen::VectorXd &coef0, | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ api.cpp:313:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ api.cpp:360:72: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ api.cpp:365:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, const Eigen::Transpose > >’ api.cpp:365:69: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ api.cpp:445:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> >’ api.cpp:445:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ api.cpp: In function ‘Rcpp::List abessPCA_API(Eigen::MatrixXd, int, int, int, Eigen::VectorXd, Eigen::MatrixXd, int, int, int, bool, int, double, int, Eigen::MatrixXi, int, int, int, Eigen::VectorXi, Eigen::VectorXi, bool, int, bool, int, int, Eigen::VectorXi, int, Eigen::VectorXi)’: api.cpp:264:9: warning: unused variable ‘lambda_min’ [-Wunused-variable] 264 | int lambda_min = 0, lambda_max = 0, nlambda = 100; | ^~~~~~~~~~ api.cpp:264:25: warning: unused variable ‘lambda_max’ [-Wunused-variable] 264 | int lambda_min = 0, lambda_max = 0, nlambda = 100; | ^~~~~~~~~~ api.cpp:264:41: warning: unused variable ‘nlambda’ [-Wunused-variable] 264 | int lambda_min = 0, lambda_max = 0, nlambda = 100; | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ api.cpp:492:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ utilities.h:444:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ utilities.h:444:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ utilities.h:444:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ utilities.h:444:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1243:70: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Scalar = double; Eigen::Index = long int]’ utilities.h:446:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1243:70: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Scalar = double; Eigen::Index = long int]’ utilities.h:446:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ workflow.h:206:73: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ workflow.h:206:39: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from api.cpp:24: workflow.h: In instantiation of ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: api.cpp:191:98: required from here workflow.h:237:12: warning: unused variable ‘best_support_size’ [-Wunused-variable] 237 | double best_support_size = parameters.sequence(min_loss_index).support_size; | ^~~~~~~~~~~~~~~~~ workflow.h:242:38: warning: variable ‘best_test_loss’ set but not used [-Wunused-but-set-variable] 242 | double best_train_loss, best_ic, best_test_loss; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ workflow.h:206:73: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ workflow.h:206:39: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] workflow.h: In instantiation of ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: api.cpp:196:107: required from here workflow.h:237:12: warning: unused variable ‘best_support_size’ [-Wunused-variable] 237 | double best_support_size = parameters.sequence(min_loss_index).support_size; | ^~~~~~~~~~~~~~~~~ workflow.h:242:38: warning: variable ‘best_test_loss’ set but not used [-Wunused-but-set-variable] 242 | double best_train_loss, best_ic, best_test_loss; | ^~~~~~~~~~~~~~ workflow.h: In instantiation of ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: api.cpp:221:110: required from here workflow.h:237:12: warning: unused variable ‘best_support_size’ [-Wunused-variable] 237 | double best_support_size = parameters.sequence(min_loss_index).support_size; | ^~~~~~~~~~~~~~~~~ workflow.h:242:38: warning: variable ‘best_test_loss’ set but not used [-Wunused-but-set-variable] 242 | double best_train_loss, best_ic, best_test_loss; | ^~~~~~~~~~~~~~ workflow.h: In instantiation of ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: api.cpp:226:119: required from here workflow.h:237:12: warning: unused variable ‘best_support_size’ [-Wunused-variable] 237 | double best_support_size = parameters.sequence(min_loss_index).support_size; | ^~~~~~~~~~~~~~~~~ workflow.h:242:38: warning: variable ‘best_test_loss’ set but not used [-Wunused-but-set-variable] 242 | double best_train_loss, best_ic, best_test_loss; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:246:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ api.cpp:445:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ api.cpp:445:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ utilities.h:444:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1139:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Scalar = double; Eigen::Index = long int]’ utilities.h:446:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Data.h:63:29: required from ‘Data::Data(T4&, T1&, int, Eigen::VectorXd&, Eigen::VectorXi&, bool, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:98:26: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ screening.h:46:65: required from ‘Eigen::VectorXi screening(Data&, std::vector*>, int, int&, double, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:109:48: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] In file included from api.cpp:20: Algorithm.h: In instantiation of ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here Algorithm.h:250:18: warning: unused variable ‘success’ [-Wunused-variable] 250 | bool success = this->primary_model_fit(train_x, train_y, train_weight, this->beta, this->coef0, DBL_MAX, | ^~~~~~~ Algorithm.h:284:14: warning: unused variable ‘success’ [-Wunused-variable] 284 | bool success = | ^~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here Algorithm.h:250:18: warning: unused variable ‘success’ [-Wunused-variable] 250 | bool success = this->primary_model_fit(train_x, train_y, train_weight, this->beta, this->coef0, DBL_MAX, | ^~~~~~~ Algorithm.h:284:14: warning: unused variable ‘success’ [-Wunused-variable] 284 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ utilities.h:319:21: required from ‘void restore_for_normal(T2&, T3&, Eigen::Matrix&, Eigen::Matrix&, bool, int, int, Eigen::VectorXd, T3, Eigen::VectorXd) [with T2 = Eigen::Matrix; T3 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ workflow.h:252:31: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here Algorithm.h:250:18: warning: unused variable ‘success’ [-Wunused-variable] 250 | bool success = this->primary_model_fit(train_x, train_y, train_weight, this->beta, this->coef0, DBL_MAX, | ^~~~~~~ Algorithm.h:284:14: warning: unused variable ‘success’ [-Wunused-variable] 284 | bool success = | ^~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:226:119: required from here Algorithm.h:250:18: warning: unused variable ‘success’ [-Wunused-variable] 250 | bool success = this->primary_model_fit(train_x, train_y, train_weight, this->beta, this->coef0, DBL_MAX, | ^~~~~~~ Algorithm.h:284:14: warning: unused variable ‘success’ [-Wunused-variable] 284 | bool success = | ^~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = int]’ api.cpp:313:65: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ Metric.h:293:63: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ Metric.h:295:40: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ Metric.h:304:38: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, -1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >’ Metric.h:306:40: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Metric.h:340:63: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = int; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ workflow.h:178:34: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::final_fitting(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: Algorithm.h:313:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here Algorithm.h:609:14: warning: unused variable ‘success’ [-Wunused-variable] 609 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ Metric.h:293:63: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Algorithm.h: In instantiation of ‘void Algorithm::final_fitting(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: Algorithm.h:313:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here Algorithm.h:609:14: warning: unused variable ‘success’ [-Wunused-variable] 609 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:581:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ screening.h:45:12: required from ‘Eigen::VectorXi screening(Data&, std::vector*>, int, int&, double, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:109:48: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ screening.h:45:12: required from ‘Eigen::VectorXi screening(Data&, std::vector*>, int, int&, double, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:109:48: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Metric.h:293:46: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ utilities.h:162:22: required from ‘T4 X_seg(T4&, int, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ Algorithm.h:275:23: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::final_fitting(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: Algorithm.h:313:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here Algorithm.h:609:14: warning: unused variable ‘success’ [-Wunused-variable] 609 | bool success = | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ Metric.h:293:55: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:226:119: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Algorithm.h: In instantiation of ‘void Algorithm::final_fitting(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: Algorithm.h:313:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:226:119: required from here Algorithm.h:609:14: warning: unused variable ‘success’ [-Wunused-variable] 609 | bool success = | ^~~~~~~ Algorithm.h: In instantiation of ‘bool Algorithm::splicing(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: Algorithm.h:430:39: required from ‘void Algorithm::get_A(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, int, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ Algorithm.h:307:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here Algorithm.h:531:18: warning: unused variable ‘success’ [-Wunused-variable] 531 | bool success = this->primary_model_fit(X_A_exchage, y, weights, beta_A_exchange, coef0_A_exchange, | ^~~~~~~ Algorithm.h: In instantiation of ‘bool Algorithm::splicing(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: Algorithm.h:430:39: required from ‘void Algorithm::get_A(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, int, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ Algorithm.h:307:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here Algorithm.h:531:18: warning: unused variable ‘success’ [-Wunused-variable] Algorithm.h: In instantiation of ‘bool Algorithm::splicing(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: Algorithm.h:430:39: required from ‘void Algorithm::get_A(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, int, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ Algorithm.h:307:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here Algorithm.h:531:18: warning: unused variable ‘success’ [-Wunused-variable] Algorithm.h: In instantiation of ‘bool Algorithm::splicing(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: Algorithm.h:430:39: required from ‘void Algorithm::get_A(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, int, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ Algorithm.h:307:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:226:119: required from here Algorithm.h:531:18: warning: unused variable ‘success’ [-Wunused-variable] /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&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = int]’ api.cpp:313:65: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, true>]’ utilities.h:433:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::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&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1139:16: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Scalar = double; Eigen::Index = long int]’ utilities.h:446:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>]’ utilities.h:459:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>]’ utilities.h:471:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>]’ utilities.h:472:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:468:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ path.h:184:36: required from ‘void gs_path(Data&, std::vector*>, Metric*, Parameters&, Eigen::VectorXi&, std::vector >&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:151:32: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ Metric.h:225:111: required from ‘double Metric::ic(int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix]’ workflow.h:225:40: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ Metric.h:225:111: required from ‘double Metric::ic(int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix]’ workflow.h:225:40: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = int]’ Algorithm.h:441:48: required from ‘void Algorithm::get_A(T4&, T1&, Eigen::VectorXi&, Eigen::VectorXi&, int&, T2&, T3&, Eigen::VectorXd&, int, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, double, double&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ Algorithm.h:307:15: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ api.cpp:364:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:110:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ api.cpp:364:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:138:31: required from ‘void Metric::set_cv_train_test_mask(Data&, int, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:119:39: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:340:37: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:581:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ utilities.h:162:26: required from ‘T4 X_seg(T4&, int, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ Algorithm.h:275:23: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ utilities.h:162:26: required from ‘T4 X_seg(T4&, int, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ Algorithm.h:275:23: required from ‘void Algorithm::fit(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:218:49: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:221:110: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:404:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:293:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ api.cpp:364:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ api.cpp:364:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Metric.h:302:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Metric.h:302:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Metric.h:302:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:305:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:305:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Metric.h:302:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Metric.h:302:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ api.cpp:364:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ api.cpp:364:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:305:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:305:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:305:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:191:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:293:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:293:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:293:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:293:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:293:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Metric.h:293:29: required from ‘double Metric::test_loss(T4&, T1&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, int, int, Algorithm*) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ path.h:97:34: required from ‘void sequential_path_cv(Data&, Algorithm*, Metric*, Parameters&, bool, int, Eigen::VectorXi&, Result&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ workflow.h:137:47: required from ‘Rcpp::List abessWorkflow(T4&, T1&, int, int, int, Eigen::VectorXd, int, int, bool, int, double, int, Parameters, int, Eigen::VectorXi, bool, int, bool, Eigen::VectorXi&, Eigen::VectorXi&, double, double, std::vector*>) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Rcpp::List = Rcpp::Vector<19>; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ api.cpp:196:107: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Matrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Matrix >’ AlgorithmPCA.h:154:19: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmPCA.h:144:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Matrix >, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmPCA.h:203:34: required from ‘double abessRPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:197:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmPCA.h:86:42: required from ‘void abessPCA::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:937:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:246:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ AlgorithmPCA.h:53:33: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -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::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ AlgorithmGLM.h:1836:35: required from ‘double abessOrdinal::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1829:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ AlgorithmGLM.h:1882:55: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ AlgorithmGLM.h:1886:33: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:140:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ AlgorithmGLM.h:1886:36: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ AlgorithmGLM.h:1886:66: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ AlgorithmGLM.h:1886:41: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ AlgorithmGLM.h:1889:56: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ AlgorithmGLM.h:1891:59: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ AlgorithmGLM.h:1892:59: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1773:29: required from ‘bool abessOrdinal::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1721:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ AlgorithmGLM.h:59:35: required from ‘Eigen::MatrixXd _abessGLM::gradient(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:57:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ AlgorithmGLM.h:66:43: required from ‘Eigen::MatrixXd _abessGLM::hessian(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:61:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, const Eigen::SparseVector, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseVector, const Eigen::Matrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseVector, const Eigen::Matrix >’ AlgorithmGLM.h:66:58: required from ‘Eigen::MatrixXd _abessGLM::hessian(T4&, T1&, Eigen::VectorXd&, T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:61:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:85:20: required from here AlgorithmGLM.h:87:13: warning: unused variable ‘n’ [-Wunused-variable] 87 | int n = X.rows(); | ^ AlgorithmGLM.h:88:13: warning: unused variable ‘p’ [-Wunused-variable] 88 | int p = X.cols(); | ^ AlgorithmGLM.h:89:13: warning: unused variable ‘M’ [-Wunused-variable] 89 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ AlgorithmGLM.h:133:75: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>’ AlgorithmGLM.h:133:63: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>’ AlgorithmGLM.h:134:63: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: AlgorithmGLM.h:99:18: required from here AlgorithmGLM.h:104:13: warning: unused variable ‘n’ [-Wunused-variable] 104 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ AlgorithmGLM.h:1554:46: required from ‘Eigen::VectorXd abessGamma::hessian_core(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1552:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ AlgorithmGLM.h:1379:48: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1373:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::Matrix >’ AlgorithmGLM.h:1400:50: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1402:37: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:1404:58: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1404:33: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >’ AlgorithmGLM.h:1418:54: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >’ AlgorithmGLM.h:1418:71: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ AlgorithmGLM.h:1420:37: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:140:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, 0> >’ AlgorithmGLM.h:1422:73: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ AlgorithmGLM.h:1424:27: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >’ AlgorithmGLM.h:1434:69: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1206:57: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ AlgorithmGLM.h:1217:31: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ AlgorithmGLM.h:1242:51: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::ArrayWrapper > >’ AlgorithmGLM.h:1258:103: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ AlgorithmGLM.h:1260:63: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > >’ AlgorithmGLM.h:1263:88: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>’ AlgorithmGLM.h:1275:83: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>’ AlgorithmGLM.h:1277:71: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1277:75: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Solve, 1>, Eigen::Matrix > >’ AlgorithmGLM.h:1295:39: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >’ AlgorithmGLM.h:1300:46: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ AlgorithmGLM.h:1303:68: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ AlgorithmGLM.h:1526:70: required from ‘bool abessMultinomial::null_model(Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1525:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ AlgorithmGLM.h:1527:31: required from ‘bool abessMultinomial::null_model(Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1525:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ AlgorithmGLM.h:1527:31: required from ‘bool abessMultinomial::null_model(Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1525:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ AlgorithmGLM.h:957:45: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ AlgorithmGLM.h:1026:19: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >’ AlgorithmGLM.h:1026:30: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ AlgorithmGLM.h:1026:64: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ AlgorithmGLM.h:1026:73: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ AlgorithmGLM.h:1092:30: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’ AlgorithmGLM.h:1092:33: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1092:81: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1092:93: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ AlgorithmGLM.h:1095:33: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1095:67: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1101:83: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1101:95: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1105:48: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:140:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ AlgorithmGLM.h:997:43: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ AlgorithmGLM.h:999:62: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ AlgorithmGLM.h:999:49: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:981:10: required from here AlgorithmGLM.h:987:13: warning: unused variable ‘n’ [-Wunused-variable] 987 | int n = x.rows(); | ^ AlgorithmGLM.h:989:13: warning: unused variable ‘M’ [-Wunused-variable] 989 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:85:20: required from here AlgorithmGLM.h:87:13: warning: unused variable ‘n’ [-Wunused-variable] 87 | int n = X.rows(); | ^ AlgorithmGLM.h:88:13: warning: unused variable ‘p’ [-Wunused-variable] 88 | int p = X.cols(); | ^ AlgorithmGLM.h:89:13: warning: unused variable ‘M’ [-Wunused-variable] 89 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: AlgorithmGLM.h:99:18: required from here AlgorithmGLM.h:104:13: warning: unused variable ‘n’ [-Wunused-variable] 104 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ AlgorithmGLM.h:803:79: required from ‘double abessCox::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:792:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ AlgorithmGLM.h:831:35: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Replicate, -1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Replicate, -1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Replicate, -1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Replicate, -1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Replicate, -1, -1> >’ AlgorithmGLM.h:844:17: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, -1, -1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >’ AlgorithmGLM.h:845:31: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, -1, -1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > >’ AlgorithmGLM.h:846:31: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> >’ AlgorithmGLM.h:852:55: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ AlgorithmGLM.h:853:41: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ AlgorithmGLM.h:856:27: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:856:31: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>’ AlgorithmGLM.h:870:36: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ AlgorithmGLM.h:870:41: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> >’ AlgorithmGLM.h:693:87: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ AlgorithmGLM.h:697:38: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >’ AlgorithmGLM.h:316:67: required from ‘Eigen::VectorXd abessLogistic::hessian_core(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:313:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ AlgorithmGLM.h:326:45: required from ‘Eigen::VectorXd abessLogistic::inv_link_function(T4&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:321:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ AlgorithmGLM.h:333:49: required from ‘Eigen::VectorXd abessLogistic::log_probability(T4&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:330:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ AlgorithmGLM.h:334:58: required from ‘Eigen::VectorXd abessLogistic::log_probability(T4&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:330:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ AlgorithmGLM.h:434:19: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:434:30: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ AlgorithmGLM.h:434:50: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ AlgorithmGLM.h:434:59: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’ AlgorithmGLM.h:498:33: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:498:67: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:498:79: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:500:38: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’ AlgorithmGLM.h:500:33: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:500:53: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:506:69: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:506:81: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:509:48: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ AlgorithmGLM.h:421:48: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -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::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ AlgorithmGLM.h:1836:35: required from ‘double abessOrdinal::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1829:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ AlgorithmGLM.h:1882:55: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ AlgorithmGLM.h:1886:36: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ AlgorithmGLM.h:1886:41: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:85:20: required from here AlgorithmGLM.h:87:13: warning: unused variable ‘n’ [-Wunused-variable] 87 | int n = X.rows(); | ^ AlgorithmGLM.h:88:13: warning: unused variable ‘p’ [-Wunused-variable] 88 | int p = X.cols(); | ^ AlgorithmGLM.h:89:13: warning: unused variable ‘M’ [-Wunused-variable] 89 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: AlgorithmGLM.h:99:18: required from here AlgorithmGLM.h:104:13: warning: unused variable ‘n’ [-Wunused-variable] 104 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1404:33: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ AlgorithmGLM.h:1418:54: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:1418:71: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ AlgorithmGLM.h:1420:37: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ AlgorithmGLM.h:1420:57: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1206:57: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>’ AlgorithmGLM.h:1275:83: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1277:75: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ AlgorithmGLM.h:957:45: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ AlgorithmGLM.h:1026:19: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >’ AlgorithmGLM.h:1026:30: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ AlgorithmGLM.h:1026:64: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >’ AlgorithmGLM.h:1026:73: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’ AlgorithmGLM.h:1092:33: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1092:81: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1092:93: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ AlgorithmGLM.h:1095:33: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:1095:67: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ AlgorithmGLM.h:997:47: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ AlgorithmGLM.h:999:49: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:981:10: required from here AlgorithmGLM.h:987:13: warning: unused variable ‘n’ [-Wunused-variable] 987 | int n = x.rows(); | ^ AlgorithmGLM.h:989:13: warning: unused variable ‘M’ [-Wunused-variable] 989 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:85:20: required from here AlgorithmGLM.h:87:13: warning: unused variable ‘n’ [-Wunused-variable] 87 | int n = X.rows(); | ^ AlgorithmGLM.h:88:13: warning: unused variable ‘p’ [-Wunused-variable] 88 | int p = X.cols(); | ^ AlgorithmGLM.h:89:13: warning: unused variable ‘M’ [-Wunused-variable] 89 | int M = y.cols(); | ^ AlgorithmGLM.h: In instantiation of ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’: AlgorithmGLM.h:99:18: required from here AlgorithmGLM.h:104:13: warning: unused variable ‘n’ [-Wunused-variable] 104 | int n = X.rows(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ AlgorithmGLM.h:856:27: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:856:31: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ AlgorithmGLM.h:870:36: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ AlgorithmGLM.h:870:41: required from ‘void abessCox::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:809:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::Diagonal, 0> >’ AlgorithmGLM.h:693:87: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ AlgorithmGLM.h:697:38: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ AlgorithmGLM.h:434:19: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:434:30: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ AlgorithmGLM.h:434:50: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ AlgorithmGLM.h:434:59: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’ AlgorithmGLM.h:498:33: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:498:67: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:498:79: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’ AlgorithmGLM.h:500:33: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ AlgorithmGLM.h:500:53: required from ‘void abessLm::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:473:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ AlgorithmGLM.h:421:48: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ AlgorithmPCA.h:273:47: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmPCA.h:144:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ AlgorithmPCA.h:293:36: required from ‘Eigen::MatrixXd abessRPCA::HardImpute(T4&, Eigen::VectorXi&, int, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:182:25: required from ‘bool abessRPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:177:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 0>, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_mean, 0>, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_mean, 0>, -1, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >’ AlgorithmPCA.h:121:42: required from ‘Eigen::MatrixXd abessPCA::compute_Sigma(T4&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ AlgorithmPCA.h:29:27: required from ‘void abessPCA::inital_setting(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:26:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, Eigen::internal::member_mean, 0>, -1, 1> >’ AlgorithmPCA.h:121:42: required from ‘Eigen::MatrixXd abessPCA::compute_Sigma(T4&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ AlgorithmPCA.h:29:27: required from ‘void abessPCA::inital_setting(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:26:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ AlgorithmPCA.h:79:40: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:69:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ AlgorithmGLM.h:1623:35: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ AlgorithmGLM.h:1654:45: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 1> >’ AlgorithmGLM.h:1656:53: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>’ AlgorithmGLM.h:1656:56: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1656:60: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1897:80: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:139:84: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ AlgorithmGLM.h:199:79: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:199:64: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:199:64: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:211:38: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here AlgorithmGLM.h:178:13: warning: unused variable ‘n’ [-Wunused-variable] 178 | int n = X.rows(); | ^ AlgorithmGLM.h:179:13: warning: unused variable ‘p’ [-Wunused-variable] 179 | int p = X.cols(); | ^ AlgorithmGLM.h:180:13: warning: unused variable ‘M’ [-Wunused-variable] 180 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::SparseMatrix, 2> >’ AlgorithmGLM.h:264:71: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ AlgorithmGLM.h:265:41: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here AlgorithmGLM.h:238:13: warning: unused variable ‘n’ [-Wunused-variable] 238 | int n = X.rows(); | ^ AlgorithmGLM.h:239:13: warning: unused variable ‘p’ [-Wunused-variable] 239 | int p = X.cols(); | ^ AlgorithmGLM.h:240:13: warning: unused variable ‘M’ [-Wunused-variable] 240 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ utilities.h:386:44: required from ‘void pi(T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1378:11: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1373:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> >’ utilities.h:386:38: required from ‘void pi(T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1378:11: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1373:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ utilities.h:390:31: required from ‘void pi(T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1378:11: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1373:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1435:66: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:373:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ utilities.h:189:27: required from ‘Eigen::Matrix compute_group_XTX(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:952:52: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ utilities.h:201:90: required from ‘Eigen::Matrix, -1, -1> Phi(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int, double, Eigen::Matrix) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:962:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ utilities.h:201:72: required from ‘Eigen::Matrix, -1, -1> Phi(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int, double, Eigen::Matrix) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:962:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Block, -1, 1, true>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:140:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ AlgorithmGLM.h:1054:64: required from ‘Eigen::MatrixXd abessMLm::covariance_update_f_U(Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1099:49: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ AlgorithmGLM.h:199:64: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:77:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:205:37: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:77:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:77:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here AlgorithmGLM.h:178:13: warning: unused variable ‘n’ [-Wunused-variable] 178 | int n = X.rows(); | ^ AlgorithmGLM.h:179:13: warning: unused variable ‘p’ [-Wunused-variable] 179 | int p = X.cols(); | ^ AlgorithmGLM.h:180:13: warning: unused variable ‘M’ [-Wunused-variable] 180 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ AlgorithmGLM.h:265:41: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here AlgorithmGLM.h:238:13: warning: unused variable ‘n’ [-Wunused-variable] 238 | int n = X.rows(); | ^ AlgorithmGLM.h:239:13: warning: unused variable ‘p’ [-Wunused-variable] 239 | int p = X.cols(); | ^ AlgorithmGLM.h:240:13: warning: unused variable ‘M’ [-Wunused-variable] 240 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>’ AlgorithmGLM.h:1656:56: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ AlgorithmGLM.h:1656:60: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here AlgorithmGLM.h:178:13: warning: unused variable ‘n’ [-Wunused-variable] 178 | int n = X.rows(); | ^ AlgorithmGLM.h:179:13: warning: unused variable ‘p’ [-Wunused-variable] 179 | int p = X.cols(); | ^ AlgorithmGLM.h:180:13: warning: unused variable ‘M’ [-Wunused-variable] 180 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >’ AlgorithmGLM.h:264:71: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ AlgorithmGLM.h:265:41: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here AlgorithmGLM.h:238:13: warning: unused variable ‘n’ [-Wunused-variable] 238 | int n = X.rows(); | ^ AlgorithmGLM.h:239:13: warning: unused variable ‘p’ [-Wunused-variable] 239 | int p = X.cols(); | ^ AlgorithmGLM.h:240:13: warning: unused variable ‘M’ [-Wunused-variable] 240 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 0> >’ utilities.h:386:38: required from ‘void pi(T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1378:11: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1373:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ utilities.h:201:72: required from ‘Eigen::Matrix, -1, -1> Phi(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int, double, Eigen::Matrix) [with T4 = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:962:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -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::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>’ AlgorithmGLM.h:1054:64: required from ‘Eigen::MatrixXd abessMLm::covariance_update_f_U(Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1099:49: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:77:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here AlgorithmGLM.h:178:13: warning: unused variable ‘n’ [-Wunused-variable] 178 | int n = X.rows(); | ^ AlgorithmGLM.h:179:13: warning: unused variable ‘p’ [-Wunused-variable] 179 | int p = X.cols(); | ^ AlgorithmGLM.h:180:13: warning: unused variable ‘M’ [-Wunused-variable] 180 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ AlgorithmGLM.h:265:41: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ AlgorithmGLM.h: In instantiation of ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’: AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here AlgorithmGLM.h:238:13: warning: unused variable ‘n’ [-Wunused-variable] 238 | int n = X.rows(); | ^ AlgorithmGLM.h:239:13: warning: unused variable ‘p’ [-Wunused-variable] 239 | int p = X.cols(); | ^ AlgorithmGLM.h:240:13: warning: unused variable ‘M’ [-Wunused-variable] 240 | int M = y.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmPCA.h:294:46: required from ‘Eigen::MatrixXd abessRPCA::HardImpute(T4&, Eigen::VectorXi&, int, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:182:25: required from ‘bool abessRPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:177:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/include/Spectra/SymEigsBase.h:298:21: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:88:29: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:94:20: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:110:50: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:116:51: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ../inst/include/Spectra/LinAlg/Lanczos.h:116:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:122:20: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ ../inst/include/Spectra/LinAlg/Lanczos.h:124:52: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>’ ../inst/include/Spectra/LinAlg/Lanczos.h:142:41: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ../inst/include/Spectra/SymEigsBase.h:141:15: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ../inst/include/Spectra/SymEigsBase.h:141:58: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ../inst/include/Spectra/SymEigsBase.h:141:64: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/include/Spectra/SymEigsBase.h:141:70: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ ../inst/include/Spectra/SymEigsBase.h:141:70: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ ../inst/include/Spectra/SymEigsBase.h:141:28: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/include/Spectra/SymEigsBase.h:142:60: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::num_converged(const Scalar&) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:348:21: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ ../inst/include/Spectra/SymEigsBase.h:116:28: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:24: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:97:30: required from ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:85:20: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ AlgorithmGLM.h:202:34: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ utilities.h:189:12: required from ‘Eigen::Matrix compute_group_XTX(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:952:52: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:804:56: required from ‘double abessCox::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:792:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1763:61: required from ‘bool abessOrdinal::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1721:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/include/Spectra/Util/SimpleRandom.h:82:35: required from ‘void Spectra::SimpleRandom::random_vec(Vector&) [with Scalar = double; Vector = Eigen::Matrix]’ ../inst/include/Spectra/Util/SimpleRandom.h:90:19: required from ‘Spectra::SimpleRandom::Vector Spectra::SimpleRandom::random_vec(Index) [with Scalar = double; Vector = Eigen::Matrix; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:312:43: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ../inst/include/Spectra/Util/SimpleRandom.h:82:51: required from ‘void Spectra::SimpleRandom::random_vec(Vector&) [with Scalar = double; Vector = Eigen::Matrix]’ ../inst/include/Spectra/Util/SimpleRandom.h:90:19: required from ‘Spectra::SimpleRandom::Vector Spectra::SimpleRandom::random_vec(Index) [with Scalar = double; Vector = Eigen::Matrix; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:312:43: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:158:35: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:158:31: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:162:29: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:82:30: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:36: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:614:42: required from ‘void Spectra::TridiagQR::compute(ConstGenericMatrix&, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/SymEigsBase.h:113:27: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 16777215>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 16777215>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 16777215> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 16777215> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:615:42: required from ‘void Spectra::TridiagQR::compute(ConstGenericMatrix&, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/SymEigsBase.h:113:27: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:302:57: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -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::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:304:41: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:307:70: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:307:51: required from ‘void Spectra::Arnoldi::compress_V(const Matrix&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Matrix = Eigen::Matrix]’ ../inst/include/Spectra/SymEigsBase.h:123:25: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:101: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1435:66: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ AlgorithmPCA.h:79:40: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:69:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ AlgorithmPCA.h:79:40: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:69:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:36: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:81:31: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:39: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:81:31: required from ‘void Spectra::Arnoldi::expand_basis(MapConstMat&, Index, Vector&, Scalar&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstMat = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int; Vector = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:89:35: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Spectra/MatOp/DenseSymMatProd.h:85:62: required from ‘void Spectra::DenseSymMatProd::perform_op(const Scalar*, Scalar*) const [with Scalar_ = double; int Uplo = 1; int Flags = 0; Scalar = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:148:24: required from ‘void Spectra::ArnoldiOp::perform_op(const Scalar*, Scalar*) const [with Scalar = double; OpType = Spectra::DenseSymMatProd]’ ../inst/include/Spectra/LinAlg/Lanczos.h:102:28: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0> >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:137:64: required from ‘void Spectra::TridiagEigen::compute(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:116:9: required from ‘Spectra::TridiagEigen::TridiagEigen(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/SymEigsBase.h:179:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair(Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:343:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215> >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:138:66: required from ‘void Spectra::TridiagEigen::compute(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:116:9: required from ‘Spectra::TridiagEigen::TridiagEigen(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/SymEigsBase.h:179:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair(Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:343:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:149:48: required from ‘void Spectra::TridiagEigen::compute(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:116:9: required from ‘Spectra::TridiagEigen::TridiagEigen(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/SymEigsBase.h:179:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair(Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:343:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0, Eigen::OuterStride<> >, 16777215>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:150:49: required from ‘void Spectra::TridiagEigen::compute(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/LinAlg/TridiagEigen.h:116:9: required from ‘Spectra::TridiagEigen::TridiagEigen(ConstGenericMatrix&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/SymEigsBase.h:179:30: required from ‘void Spectra::SymEigsBase::retrieve_ritzpair(Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ ../inst/include/Spectra/SymEigsBase.h:343:9: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16777215>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16777215> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16777215> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 16777215>’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:726:22: required from ‘void Spectra::TridiagQR::matrix_QtHQ(Matrix&) const [with Scalar = double; Matrix = Eigen::Matrix]’ ../inst/include/Spectra/LinAlg/Lanczos.h:164:27: required from ‘void Spectra::Lanczos::compress_H(const Spectra::TridiagQR&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>]’ ../inst/include/Spectra/SymEigsBase.h:120:29: required from ‘void Spectra::SymEigsBase::restart(Index, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:353:13: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1837:59: required from ‘double abessOrdinal::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1829:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:39: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1384:50: required from ‘double abessMultinomial::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1373:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1203:70: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1026:79: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:434:65: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix > > >; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1026:79: required from ‘double abessMLm::loss_function(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1021:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:434:65: required from ‘double abessLm::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:430:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘typename Eigen::internal::enable_if::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type, typename Eigen::internal::traits::Scalar>, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type>::type, const Derived> >::type Eigen::operator*(const T&, const MatrixBase::StorageBaseType&) [with T = Product >, Matrix, 0>, Matrix, 0>; Derived = Matrix; typename internal::enable_if::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type, typename internal::traits::Scalar>, const typename internal::plain_constant_type::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type>::type, const Derived> >::type = const CwiseBinaryOp, const CwiseNullaryOp, const Matrix >, const Matrix >; typename internal::promote_scalar_arg::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type = double; typename internal::traits::Scalar = double; typename internal::traits::Scalar = double; typename internal::plain_constant_type::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type>::type = CwiseNullaryOp, const Matrix >; MatrixBase::StorageBaseType = MatrixBase >]’ AlgorithmPCA.h:86:82: required from ‘void abessPCA::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘typename Eigen::internal::enable_if::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type, typename Eigen::internal::traits::Scalar>, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type>::type, const Derived> >::type Eigen::operator*(const T&, const MatrixBase::StorageBaseType&) [with T = Product >, Matrix, 0>, Matrix, 0>; Derived = Matrix; typename internal::enable_if::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type, typename internal::traits::Scalar>, const typename internal::plain_constant_type::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type>::type, const Derived> >::type = const CwiseBinaryOp, const CwiseNullaryOp, const Matrix >, const Matrix >; typename internal::promote_scalar_arg::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type = double; typename internal::traits::Scalar = double; typename internal::traits::Scalar = double; typename internal::plain_constant_type::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type>::type = CwiseNullaryOp, const Matrix >; MatrixBase::StorageBaseType = MatrixBase >]’ AlgorithmPCA.h:86:82: required from ‘void abessPCA::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:127:21: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd]’ ../inst/include/Spectra/LinAlg/Lanczos.h:113:47: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, member_sum, 0>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::PartialReduxExpr, member_sum, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; Derived = Eigen::Block, -1, 1, false>]’ AlgorithmGLM.h:1654:23: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:334:18: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:334:57: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 2, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:229:22: required from ‘class Eigen::RealSchur >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:105: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:73: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:273:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59: required from ‘struct Eigen::EigenBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:46:7: required from ‘class Eigen::PermutationBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:297:7: required from ‘class Eigen::PermutationMatrix<2, 2, int>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:432:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:55: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 2, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:67: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, 1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 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, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1897:80: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1080:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:685:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ AlgorithmGLM.h:1418:31: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1081:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:685:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ AlgorithmGLM.h:1418:31: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1435:66: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmPCA.h:294:46: required from ‘Eigen::MatrixXd abessRPCA::HardImpute(T4&, Eigen::VectorXi&, int, double) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:182:25: required from ‘bool abessRPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:177:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 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, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:142:22: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) const [with Arg = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; OpType = Spectra::DenseSymMatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:138:40: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 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, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:142:22: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) const [with Arg = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; OpType = Spectra::DenseSymMatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:149:39: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/LinAlg/Lanczos.h:124:63: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:73:22: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:73:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:273:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:41:59: required from ‘struct Eigen::EigenBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:46:7: required from ‘class Eigen::PermutationBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:297:7: required from ‘class Eigen::PermutationMatrix<4, 4, int>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:432:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:94:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1889:29: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:595:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1889:29: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:97:30: required from ‘double _abessGLM::loss_function(T4&, T1&, Eigen::VectorXd&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:85:20: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:999:25: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:804:56: required from ‘double abessCox::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:792:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:595:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1763:61: required from ‘bool abessOrdinal::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1721:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:999:25: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:162:40: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:511:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:521:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:531:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:86:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:86:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -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, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:86:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:1300:27: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:697:19: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1923:25: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1420:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:690:29: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:697:19: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmPCA.h:255:22: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmPCA.h:144:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ AlgorithmPCA.h:79:40: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:69:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block, -1, -1, true>, 1, -1, false>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, true>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:412:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:413:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 2, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 2, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, 2, 2>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, 2, 2>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, 2, 2>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, 2, 2>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 2>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 2>, 2, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -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, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Block, 1, 1, false>; OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Block, 1, 1, false>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Block, 1, 1, false>; EvalReturnType = const Eigen::Matrix]’ AlgorithmGLM.h:199:87: required from ‘bool _abessGLM::_approx_newton_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1586:44: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:265:23: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:265:23: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:265:23: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1589:35: required from ‘bool abessGamma::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1575:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:265:23: required from ‘bool _abessGLM::_IRLS_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:80:26: required from ‘bool _abessGLM::primary_model_fit(T4&, T1&, Eigen::VectorXd&, T2&, T3&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = Eigen::Matrix; T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:71:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘typename Eigen::internal::enable_if::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type, typename Eigen::internal::traits::Scalar>, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type>::type, const Derived> >::type Eigen::operator*(const T&, const MatrixBase::StorageBaseType&) [with T = Product >, Matrix, 0>, Matrix, 0>; Derived = Matrix; typename internal::enable_if::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type, typename internal::traits::Scalar>, const typename internal::plain_constant_type::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type>::type, const Derived> >::type = const CwiseBinaryOp, const CwiseNullaryOp, const Matrix >, const Matrix >; typename internal::promote_scalar_arg::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type = double; typename internal::traits::Scalar = double; typename internal::traits::Scalar = double; typename internal::plain_constant_type::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type>::type = CwiseNullaryOp, const Matrix >; MatrixBase::StorageBaseType = MatrixBase >]’ AlgorithmPCA.h:86:82: required from ‘void abessPCA::sacrifice(T4&, T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:82:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:127:21: required from ‘Scalar Spectra::ArnoldiOp::inner_product(const Arg1&, const Arg2&) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd]’ ../inst/include/Spectra/LinAlg/Lanczos.h:113:47: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:84:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:276:10: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:525:40: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:598:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:497:44: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:121:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:472:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:522:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:121:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:563:85: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ AlgorithmGLM.h:1889:48: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: 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 >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:421:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:142:22: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) const [with Arg = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; OpType = Spectra::DenseSymMatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:138:40: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:142:22: required from ‘Scalar Spectra::ArnoldiOp::norm(const Arg&) const [with Arg = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; OpType = Spectra::DenseSymMatProd]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:149:39: required from ‘void Spectra::Arnoldi::init(MapConstVec&, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; MapConstVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:299:19: required from ‘void Spectra::SymEigsBase::init(const Scalar*) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Scalar = double]’ ../inst/include/Spectra/SymEigsBase.h:313:13: required from ‘void Spectra::SymEigsBase::init() [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp]’ AlgorithmPCA.h:55:17: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/DenseSymMatProd.h:85:21: required from ‘void Spectra::DenseSymMatProd::perform_op(const Scalar*, Scalar*) const [with Scalar_ = double; int Uplo = 1; int Flags = 0; Scalar = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:148:24: required from ‘void Spectra::ArnoldiOp::perform_op(const Scalar*, Scalar*) const [with Scalar = double; OpType = Spectra::DenseSymMatProd]’ ../inst/include/Spectra/LinAlg/Lanczos.h:102:28: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:365:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:304:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 2, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false>, 1, -1, false> >’ /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 ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, 2, false>, 1, -1, false>; U = Eigen::Block, 2, 1, true>, -1, 1, false>; ResScalar = double]’ /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 ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:497:28: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:121:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:497:44: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:121:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:472:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:522:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:121:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:563:85: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:157:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:134:53: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:173:17: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; ResultType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Product >, Eigen::SparseMatrix, 2>; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 2>; Derived = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1125:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ utilities.h:190:19: required from ‘Eigen::Matrix compute_group_XTX(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:952:52: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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 >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:690:29: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:690:29: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:122:37: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:149:90: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:690:29: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 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, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: 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 >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:421:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:266:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 2, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:38: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 2, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, 2, 1, true>, -1, 1, false>; Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:522:79: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:34: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:121:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, -1, -1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:247:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:772:22: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 2, false>, Eigen::Block, -1, 1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 2, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:779:59: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 2, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 2, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, 2, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 2, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 2, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:772:22: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1889:29: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:160:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1889:29: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:338:68: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; XprType = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1435:66: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:35:18: required from ‘void Eigen::internal::conservative_sparse_sparse_product_impl(const Lhs&, const Rhs&, ResultType&, bool) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::Transpose >; ResultType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:175:83: required from ‘static void Eigen::internal::conservative_sparse_sparse_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; ResultType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:76:107: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Product >, Eigen::SparseMatrix, 2>; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 2>; Derived = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1125:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ utilities.h:190:19: required from ‘Eigen::Matrix compute_group_XTX(T4&, Eigen::VectorXi, Eigen::VectorXi, int, int, int) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:952:52: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmPCA.h:273:19: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmPCA.h:144:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:503: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = const Eigen::Ref, 0, Eigen::OuterStride<> >; int LhsMode = 17; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Spectra/MatOp/DenseSymMatProd.h:85:21: required from ‘void Spectra::DenseSymMatProd::perform_op(const Scalar*, Scalar*) const [with Scalar_ = double; int Uplo = 1; int Flags = 0; Scalar = double]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:148:24: required from ‘void Spectra::ArnoldiOp::perform_op(const Scalar*, Scalar*) const [with Scalar = double; OpType = Spectra::DenseSymMatProd]’ ../inst/include/Spectra/LinAlg/Lanczos.h:102:28: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:9: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:157:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, 2, 1, true>, -1, 1, false>; Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, 2, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 2, -1, true>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:412:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 2, -1, true>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:412:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 2, false>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:413:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 2, false>; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:413:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:327:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, std::complex >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 1, true> >; Functor = assign_op, std::complex >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 1, true> >; Functor = Eigen::internal::assign_op, std::complex >; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, -1, -1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:247:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -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:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -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:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:338:68: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; XprType = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ AlgorithmGLM.h:1435:66: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 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:665:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -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, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:772:22: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 4, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 4, false>, Eigen::Block, -1, 1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 4, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:779:59: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:499:76: required from ‘struct Eigen::internal::product_evaluator, Eigen::Block, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1433:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:997:25: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:499:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:365:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:304:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:194:83: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:1276:82: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1923:25: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1923:25: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1420:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1420:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1420:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1095:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmPCA.h:255:22: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmPCA.h:144:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmPCA.h:255:22: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmPCA.h:144:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; ExpressionType = Eigen::Ref, 0, Eigen::InnerStride<1> >; StorageBase = Eigen::MatrixBase]’ ../inst/include/Spectra/MatOp/internal/ArnoldiOp.h:135:23: required from ‘void Spectra::ArnoldiOp::trans_product(const Arg1&, const Arg2&, Eigen::Ref >) const [with Arg1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Arg2 = Eigen::Matrix; Scalar = double; OpType = Spectra::DenseSymMatProd; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ ../inst/include/Spectra/LinAlg/Lanczos.h:123:31: required from ‘void Spectra::Lanczos::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/SymEigsBase.h:342:29: required from ‘Spectra::SymEigsBase::Index Spectra::SymEigsBase::compute(Spectra::SortRule, Index, Scalar, Spectra::SortRule) [with OpType = Spectra::DenseSymMatProd; BOpType = Spectra::IdentityBOp; Index = long int; Scalar = double]’ AlgorithmPCA.h:56:20: required from ‘bool abessPCA::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:43:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, false>]’ AlgorithmGLM.h:1656:19: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Block, 1, 4, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Block, 1, 4, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Block, 1, 4, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Block, 1, 4, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 4, false>; Derived = Eigen::Block, 1, 4, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:549:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>; SrcXprType = Eigen::Block, 4, 1, true>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>; SrcXprType = Eigen::Block, 4, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 4, 1, true>; Src = Eigen::Block, 4, 1, true>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 4, 1, true>; Src = Eigen::Block, 4, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 4, 1, true>; Derived = Eigen::Block, 4, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:553:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:765:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 2, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 2, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, 2, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, 2, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:690:29: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:122:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:690:29: required from ‘bool abessCox::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:630:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:422:25: required from ‘bool abessLm::primary_model_fit(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:405:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 2, -1, true>, 2, 1, true>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 2, -1, true>, 2, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 2, -1, true>, 2, 1, true>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 2, -1, true>, 2, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 2, -1, true>, 2, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:779:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:1276:82: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:122:37: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose, -1, -1, false> >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:149:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:1276:82: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:1153:15: required from ‘bool abessMLm::null_model(Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1152:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 1> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, Eigen::internal::member_sum, 1> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::internal::member_sum, 1> >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, false>]’ AlgorithmGLM.h:1656:19: required from ‘bool abessOrdinal::gradient(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1872:9: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1420:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmPCA.h:255:22: required from ‘Eigen::MatrixXd abessRPCA::trun_svd(Eigen::MatrixXd) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix]’ AlgorithmPCA.h:153:29: required from ‘Eigen::VectorXi abessRPCA::inital_screening(T4&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmPCA.h:144:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, true, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 4, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 4, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 4, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 4, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, 4, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, 4, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, 1, 4, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:499:76: required from ‘struct Eigen::internal::product_evaluator, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:134:53: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:134:53: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:1153:15: required from ‘bool abessMLm::null_model(Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1152:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:1153:15: required from ‘bool abessMLm::null_model(Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1152:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ AlgorithmGLM.h:1153:15: required from ‘bool abessMLm::null_model(Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1152:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1092:19: required from ‘void abessMLm::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1067:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:22: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, true, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:499:76: required from ‘struct Eigen::internal::product_evaluator, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, 2, -1, true>, 2, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from ‘struct Eigen::internal::product_evaluator, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:249:21: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:499:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h:779:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; ResultType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, 2, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, 2, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, 2, false>; ResultType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1923:25: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1420:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ AlgorithmPCA.h:79:40: required from ‘double abessPCA::loss_function(T4&, Eigen::VectorXd&, Eigen::VectorXd&, Eigen::VectorXd&, double&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&, double) [with T4 = Eigen::SparseMatrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmPCA.h:69:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 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:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 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:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:55: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:259:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 2, false>, Eigen::Block, -1, 1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 2, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:133:56: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:134:53: required from ‘void _abessGLM::sacrifice(T4&, T4&, T1&, T2&, T2&, T3&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; T3 = double; T4 = Eigen::SparseMatrix; Eigen::VectorXi = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:99:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:274:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: required from ‘Eigen::RealSchur<_MatrixType>::RealSchur(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:263:32: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 4, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; ResultType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, 4, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, 4, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, 4, false>; ResultType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_off_diagonal_block(const MatrixType&, typename MatrixType::Index, typename MatrixType::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename MatrixType::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false>, 1, -1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 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, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 2, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, 2, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 2, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 2, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1433:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1433:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1433:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:997:25: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:997:25: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:997:25: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 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, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true>, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 4, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 4, false>, 1, -1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 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, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 4, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, 4, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 4, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 4, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 4, false>, Eigen::Block, -1, 1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 4, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ AlgorithmGLM.h:1925:56: required from ‘double abessOrdinal::effective_number_of_parameter(T4&, T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix]’ AlgorithmGLM.h:1904:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:1276:82: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, -1, false>, 0>; Derived = Eigen::Block, -1, -1, false>]’ AlgorithmGLM.h:1275:67: required from ‘bool abessMultinomial::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1173:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:22: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 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:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 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:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from ‘struct Eigen::internal::product_evaluator, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:272:12: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>, const Eigen::Block, -1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:1433:29: required from ‘void abessMultinomial::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1387:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:957:29: required from ‘void abessMLm::inital_setting(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:948:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:997:25: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:50: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:50: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 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:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 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:665:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 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:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 4, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from ‘struct Eigen::internal::product_evaluator, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ AlgorithmGLM.h:997:25: required from ‘bool abessMLm::primary_model_fit(T4&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Eigen::VectorXd&, double, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXi&) [with T4 = Eigen::Matrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:981:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:497:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:499:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, 2, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 4, false>, 1, 4, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, 1, 4, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, 1, 4, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 4, false>, 1, 4, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 4, false>, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, 4, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 4, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:37: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -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, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 4, false>, 1, 4, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:151:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -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:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:589:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:497:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:184:50: required from ‘void Eigen::matrix_sqrt_quasi_triangular(const MatrixType&, ResultType&) [with MatrixType = Matrix; ResultType = Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:269:33: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ AlgorithmGLM.h:1888:35: required from ‘void abessOrdinal::sacrifice(T4&, T4&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::MatrixXd&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int, Eigen::VectorXi&, Eigen::VectorXd&, Eigen::VectorXi&, Eigen::VectorXi&, int) [with T4 = Eigen::SparseMatrix; Eigen::MatrixXd = Eigen::Matrix; Eigen::VectorXd = Eigen::Matrix; Eigen::VectorXi = Eigen::Matrix]’ AlgorithmGLM.h:1860:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:235:33: required from ‘void Spectra::UpperHessenbergQR::compute(ConstGenericMatrix&, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ../inst/include/Spectra/LinAlg/UpperHessenbergQR.h:222:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:233:40: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ../inst/include/Spectra/LinAlg/Arnoldi.h:233:35: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, false>, 0>’ ../inst/include/Spectra/LinAlg/Arnoldi.h:260:41: required from ‘void Spectra::Arnoldi::factorize_from(Index, Index, Index&) [with Scalar = double; ArnoldiOpType = Spectra::ArnoldiOp, Spectra::IdentityBOp>; Index = long int]’ ../inst/include/Spectra/LinAlg/Arnoldi.h:177:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I ../inst/include -DR_BUILD -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c normalize.cpp -o normalize.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397, 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 normalize.cpp:7: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::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 >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ normalize.cpp:35:14: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ normalize.cpp:35:14: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ normalize.cpp:37:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ normalize.cpp:39:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ normalize.cpp:43:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ normalize.cpp:43:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ normalize.cpp:43:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ normalize.cpp:45:16: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ normalize.cpp:45:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ normalize.cpp:49:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ normalize.cpp:56:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ normalize.cpp:56:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ normalize.cpp:56:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ normalize.cpp:68:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ normalize.cpp:68:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ normalize.cpp:68:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ normalize.cpp:74:14: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >’ normalize.cpp:74:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ normalize.cpp:39:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ normalize.cpp:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, true>]’ normalize.cpp:43:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ normalize.cpp:39:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ normalize.cpp:39:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ normalize.cpp:41:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; Derived = Eigen::Block, 1, -1, false>]’ normalize.cpp:74:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ normalize.cpp:68:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ normalize.cpp:68:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ normalize.cpp:68:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: 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 >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ normalize.cpp:68:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ normalize.cpp:68:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: 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 >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ normalize.cpp:68:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: 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 >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ normalize.cpp:68:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I ../inst/include -DR_BUILD -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -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 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c utilities.cpp -o utilities.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397, 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 utilities.cpp:11: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__m128i’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::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 >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /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/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ utilities.cpp:25:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ utilities.cpp:28:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ utilities.cpp:31:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NumTraits.h:103:53: required from ‘struct Eigen::GenericNumTraits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NumTraits.h:150:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix, -1, -1>’ utilities.cpp:39:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase, -1, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix, -1, -1>’ utilities.cpp:39:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:281:19: required from ‘class Eigen::LDLT, 1>’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ utilities.cpp:44:74: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ utilities.cpp:44:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ utilities.cpp:257:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ utilities.cpp:269:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ utilities.cpp:272:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ utilities.cpp:279:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ utilities.cpp:288:67: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ utilities.cpp:294:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ utilities.cpp:304:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ utilities.cpp:355:16: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ utilities.cpp:355:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> >’ utilities.cpp:362:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >’ utilities.cpp:362:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ utilities.cpp:366:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ utilities.cpp:366:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ utilities.cpp:382:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >’ utilities.cpp:388:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ utilities.cpp:392:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ utilities.cpp:400:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ utilities.cpp:400:93: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ utilities.cpp:503:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ utilities.cpp:506:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ utilities.cpp:506:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]’ utilities.cpp:288:67: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:29: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ utilities.cpp:290:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1391:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1067:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ utilities.cpp:298:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1084:12: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ utilities.cpp:298:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1243:70: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Scalar = double; Eigen::Index = long int]’ utilities.cpp:438:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1243:70: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::Scalar& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::insert(Eigen::Index, Eigen::Index) [with _Scalar = double; int _Options = 0; _StorageIndex = int; Scalar = double; Eigen::Index = long int]’ utilities.cpp:438:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ utilities.cpp:398:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, 1, -1, false>]’ utilities.cpp:506:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:43: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:101: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ utilities.cpp:294:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:70:30: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ utilities.cpp:294:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__m128i’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ utilities.cpp:294:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ utilities.cpp:294:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::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, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ utilities.cpp:304:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ utilities.cpp:304:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:348:41: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:18: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: 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:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = 1; int BlockCols = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ utilities.cpp:294:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ utilities.cpp:304:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 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, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:193:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:65:35: required from ‘Eigen::Index Eigen::SparseCompressedBase::nonZeros() const [with Derived = Eigen::SparseMatrix; Eigen::Index = long int]’ utilities.cpp:290:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 1, false>]’ utilities.cpp:32:101: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128i’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:581:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, 1, -1, true>; MatScalar = double; int MatOptions = 1; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, 1, -1, true>; MatScalar = double; int MatOptions = 1; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ utilities.cpp:294:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, 1, -1, true>; MatScalar = double; int MatOptions = 1; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, 1, -1, true>; MatScalar = double; int MatOptions = 1; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = true]’ utilities.cpp:294:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:298:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:581:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1004:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:952:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ utilities.cpp:304:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:683:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:216:34: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const BlockType&) [with SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; BlockType = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = true]’ utilities.cpp:304:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::ArrayWrapper > >; Derived = Eigen::Block, 1, -1, false>]’ utilities.cpp:362:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ utilities.cpp:398:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:125: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:565:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ utilities.cpp:44:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:573:61: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ utilities.cpp:44:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ utilities.cpp:44:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:595:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ utilities.cpp:44:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ utilities.cpp:44:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /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&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:508:74: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ utilities.cpp:400:91: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: 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 >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ utilities.cpp:400:91: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ utilities.cpp:400:91: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: 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 >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ utilities.cpp:400:91: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /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 ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ utilities.cpp:44:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ utilities.cpp:44:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ utilities.cpp:44:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ utilities.cpp:44:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:160:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ utilities.cpp:44:84: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: 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 >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ utilities.cpp:400:91: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o abess.so RcppExports.o api.o normalize.o utilities.o -fopenmp -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64/usr/local/lib/R/library/00LOCK-abess/00new/abess/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘abess’ finding HTML links ... done abess-package html abess html abesspca html abessrpca html coef.abess html coef.abesspca html coef.abessrpca html deviance.abess html extract.abess html generate.data html generate.matrix html generate.spc.matrix html plot.abess html plot.abesspca html plot.abessrpca html predict.abess html print.abess html print.abesspca html print.abessrpca html trim32 html ** 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 (abess) + test -d abess/src + cd abess/src + rm -f RcppExports.o api.o normalize.o utilities.o abess.so + rm -f /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64/usr/local/lib/R/library/R.css + find /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64@@g '{}' ';' + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 0.4.8-1.fc39.copr6665363 --unique-debug-suffix -0.4.8-1.fc39.copr6665363.x86_64 --unique-debug-src-base R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/abess 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-abess-0.4.8-1.fc39.copr6665363.x86_64 688 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-abess-0.4.8-1.fc39.copr6665363.x86_64 Provides: R-CRAN-abess = 0.4.8-1.fc39.copr6665363 R-CRAN-abess(x86-64) = 0.4.8-1.fc39.copr6665363 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_2.3.4)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgcc_s.so.1(GCC_4.0.0)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(GOMP_4.5)(64bit) libgomp.so.1(OMP_1.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(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_3.4.29)(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-abess-debugsource-0.4.8-1.fc39.copr6665363.x86_64 Provides: R-CRAN-abess-debugsource = 0.4.8-1.fc39.copr6665363 R-CRAN-abess-debugsource(x86-64) = 0.4.8-1.fc39.copr6665363 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-abess-debuginfo-0.4.8-1.fc39.copr6665363.x86_64 Provides: R-CRAN-abess-debuginfo = 0.4.8-1.fc39.copr6665363 R-CRAN-abess-debuginfo(x86-64) = 0.4.8-1.fc39.copr6665363 debuginfo(build-id) = b89d9d2301d0b9ee709c0476eeccc963e85377a1 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-abess-debugsource(x86-64) = 0.4.8-1.fc39.copr6665363 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64 Wrote: /builddir/build/RPMS/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-abess-debugsource-0.4.8-1.fc39.copr6665363.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-abess-debuginfo-0.4.8-1.fc39.copr6665363.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.2MDdHZ + umask 022 + cd /builddir/build/BUILD + cd abess + /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-abess-0.4.8-1.fc39.copr6665363.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.aVrZdM + umask 022 + cd /builddir/build/BUILD + rm -rf /builddir/build/BUILD/abess-SPECPARTS + rm -rf abess abess.gemspec + RPM_EC=0 ++ jobs -p + exit 0 RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild R-CRAN-abess-0.4.8-1.fc39.copr6665363.src.rpm Finish: build phase for R-CRAN-abess-0.4.8-1.fc39.copr6665363.src.rpm INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1700312509.504721/root/var/log/dnf.rpm.log /var/lib/mock/fedora-39-x86_64-1700312509.504721/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1700312509.504721/root/var/log/dnf.log INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-abess-0.4.8-1.fc39.copr6665363.src.rpm) Config(child) 4 minutes 2 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-abess", "epoch": null, "version": "0.4.8", "release": "1.fc39.copr6665363", "arch": "x86_64" }, { "name": "R-CRAN-abess-debuginfo", "epoch": null, "version": "0.4.8", "release": "1.fc39.copr6665363", "arch": "x86_64" }, { "name": "R-CRAN-abess", "epoch": null, "version": "0.4.8", "release": "1.fc39.copr6665363", "arch": "src" }, { "name": "R-CRAN-abess-debugsource", "epoch": null, "version": "0.4.8", "release": "1.fc39.copr6665363", "arch": "x86_64" } ] } RPMResults finished